Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
1
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int64
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question List down the district number of the representative of the house named Jonathan Grout. Clarification: district number refers to district; representative of the house refers to type = 'rep';
[query_database(**{'query': '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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,842
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Provide the type and end date of the term of the legislator named John Vining. Clarification: end date of the term refers to end;
[query_database(**{'query': '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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,846
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Does Thomas Carnes have an account on ballotpedia.org? Clarification: 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;
[query_database(**{'query': '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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question What is the ratio between male and female legislators? Clarification: ratio = DIVIDE(SUM(gender_bio = 'M'),  SUM(gender_bio = 'F')); male refers to gender_bio = 'M'; female refers to gender_bio = 'F'
[query_database(**{'query': '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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,855
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question State all the district that Benjamin Contee has served before. Clarification:
[query_database(**{'query': '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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,859
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question What is the Twitter ID of Emanuel Cleaver? Clarification:
[query_database(**{'query': '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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,863
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question What is the ratio between famous current legislators and famous historical legislators? Clarification: ratio = DIVIDE(COUNT(current.bioguide_id WHERE current.wikipedia_id is not null), COUNT(historical.bioguide_id WHERE historical.wikipedia_id is not null)); famous current legislators refers to current.wikipedia_id is not null; famous historical legislators refers to historical.wikipedia_id is not null;
[query_database(**{'query': '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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,867
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question What are the full names of the non-google female entity legislators that have not been registered in Federal Election Commission data? Clarification: full names = first_name, last_name; non-google entity refers to google_entity_id_id is null; female refers to gender_bio = 'F'; have not been registered in Federal Election Commission data refers to fec_id is null;
[query_database(**{'query': 'SELECT first_name, last_name FROM historical WHERE gender_bio = 'F' AND google_entity_id_id IS NULL AND fec_id IS NULL'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,871
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question What is the official Twitter handle of Jason Lewis? Clarification: official Twitter handle refers to twitter;
[query_database(**{'query': '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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,875
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question List the official full names of all the legislators who have facebook, instagram, twitter and youtube accounts. Clarification: have facebook, instagram, twitter and youtube accounts refers to 'facebook' is not null AND 'instagram' is not null AND 'twitter' is not null AND 'youtube' is not null;
[query_database(**{'query': '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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,879
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question How many Federalist representatives are there whose first names are Benjamin? Clarification: Federalist refers to party = 'Federalist'; representatives refers to type = 'rep';
[query_database(**{'query': '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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,883
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Among all the current legislators born after the year 1960, how many of them are not google entities? Clarification: born after the year 1960 refers to strftime('%Y', birthday_bio) > '1960'; not google entities refers to google_entity_id_id is null;
[query_database(**{'query': 'SELECT COUNT(*) FROM current WHERE strftime('%Y', birthday_bio) > '1960' AND google_entity_id_id IS NULL'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Among all the current female legislators, how many of them have attended in Senate roll call votes? Clarification: female refers to gender_bio = 'F'; have attended in Senate roll call votes refers to lis_id is not null;
[query_database(**{'query': 'SELECT COUNT(lis_id) FROM current WHERE gender_bio = 'F' AND lis_id IS NOT NULL'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,891
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Please list the username of the current official Facebook presence of all the current legislators that are famous or impact. Clarification: 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;
[query_database(**{'query': '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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,895
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Please list the full official names of all the current legislators who served the term that started on 2013/1/3. Clarification: term that started on 2013/1/3 refers to start = '2013-01-03';
[query_database(**{'query': '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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,899
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question What is the official full name of the current legislator whose current official Facebook presence is "senjoniernst"? Clarification: current official Facebook presence is "senjoniernst" refers to facebook = 'senjoniernst';
[query_database(**{'query': '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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question How many of the legislators are female? Clarification: female refers to gender_bio = 'F';
[query_database(**{'query': 'SELECT COUNT(gender_bio) FROM current WHERE gender_bio = 'F''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,907
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Give the alphanumeric ID of the Catholic legislators in Nebraska. Clarification: alphanumeric ID refers to bioguide; Catholic legislators refers to religion_bio = 'Catholic'; Nebraska refers to state = 'NE';
[query_database(**{'query': '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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,911
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question How many female representatives are there in Michigan? Clarification: female refers to gender_bio = 'F'; representatives refers to type = 'rep'; Michigan refers to state = 'MI';
[query_database(**{'query': '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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( 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, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, 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, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,915
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question When John Aalberg took part in the 1994 Winter Olympic Game, how old was he? Clarification: how old was he refers to age; 1994 Winter refers to games_name = '1994 Winter';
[query_database(**{'query': '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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question The Olympic competitor John Aalberg is from which region? Clarification: from which region refers to region_name;
[query_database(**{'query': '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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
4,922
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question Please list the names of the Olympic games that were held in London. Clarification: held in London refers to city_name = 'London';
[query_database(**{'query': '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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
4,926
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question Among the competitors of the 1994 Winter Olympic Game, what is the percentage of those from Finland? Clarification: DIVIDE(COUNT(id where region_name = 'Finland'), COUNT(id)) as percentage where games_name = '1994 Winter';
[query_database(**{'query': 'SELECT CAST(COUNT(CASE WHEN T5.region_name = 'Finland' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T3.id) 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 INNER JOIN person_region AS T4 ON T3.id = T4.person_id INNER JOIN noc_region AS T5 ON T4.region_id = T5.id WHERE T1.games_name = '1994 Winter''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
4,930
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question Tell the number of swimming related events. Clarification: swimming refers to sport_name = 'Swimming';
[query_database(**{'query': 'SELECT COUNT(T2.event_name) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Swimming''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
4,934
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question Give the name of the tallest athlete from Sweden. Clarification: the tallest athlete refers to id where MAX(height); from Sweden refers to region_name = 'Sweden'; name refers to full_name;
[query_database(**{'query': '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 = 'Sweden' ORDER BY T3.height DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question How many competitor ids does Martina Kohlov have? Clarification:
[query_database(**{'query': 'SELECT COUNT(T2.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T1.full_name = 'Martina Kohlov''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question How many 24 years old competitors competed in Men's Basketball? Clarification: 24 years old competitors refer to id where age = 24; Men's Basketball refers to event_name = 'Basketball Men''s Basketball';
[query_database(**{'query': 'SELECT COUNT(T2.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id INNER JOIN event AS T3 ON T1.event_id = T3.id WHERE T3.event_name LIKE 'Basketball Men%s Basketball' AND T2.age = 24'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question How many athletes are from Australia? Clarification: from Australia refer region_name = 'Australia';
[query_database(**{'query': 'SELECT COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id WHERE T1.region_name = 'Australia''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
4,950
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question Where was the first Olympic game held? Clarification: Where it was held refers to city_name; the first Olympic game refers to id where MIN(games_year);
[query_database(**{'query': '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 ORDER BY T3.games_year LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
4,954
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question In the Winter and Summer Olympics of 1988, which game has the most number of competitors? Find the difference of the number of competitors between the two games. Clarification: the most number of competitors refer to MAX(COUNT(person_id)); SUBTRACT(COUNT(person_id where games_name = '1988 Summer'), COUNT(person_id where games_name = '1988 Winter'));
[query_database(**{'query': 'SELECT P1 , ( SELECT MAX(P2) - MIN(P2) FROM ( SELECT COUNT(T2.person_id) AS P2 FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name IN ('1988 Winter', '1988 Summer') GROUP BY T1.season ) ORDER BY P2 DESC LIMIT 1 ) FROM ( SELECT T1.season AS P1, COUNT(T2.person_id) AS P2 FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name IN ('1988 Winter', '1988 Summer') GROUP BY T1.season ) ORDER BY P2 DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
4,958
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question What was the medal that Coleen Dufresne got? Clarification: What medal refers to medal_name;
[query_database(**{'query': 'SELECT T4.medal_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T1.full_name = 'Coleen Dufresne (-Stewner)''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question What is the name of the oldest person who participated in the Olympic Games? Clarification: the oldest person refers to person_id where MAX(age); name refers to full_name;
[query_database(**{'query': 'SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id ORDER BY T2.age DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question How many persons participated in the Sapporo Olympics? Clarification: the Sapporo Olympics refer to games_id where city_name = 'Sapporo';
[query_database(**{'query': 'SELECT COUNT(T1.person_id) FROM games_competitor AS T1 INNER JOIN games_city AS T2 ON T1.games_id = T2.games_id INNER JOIN city AS T3 ON T2.city_id = T3.id WHERE T3.city_name = 'Sapporo''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
4,969
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question Calculate the percentage of women who have participated in Equestrianism Mixed Three-Day Event, Individual. Clarification: DIVIDE(COUNT(person_id where gender = 'F), COUNT(person_id)) as percentage where event_name = 'Equestrianism Mixed Three-Day Event, Individual';
[query_database(**{'query': 'SELECT CAST(COUNT(CASE WHEN T1.gender = 'F' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN event AS T4 ON T3.event_id = T4.id WHERE T4.event_name = 'Equestrianism Mixed Three-Day Event, Individual''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
4,974
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question How many athletes from region 151 have won a medal? Clarification: athletes refer to person_id; region 151 refers to region_id = 151; won a medal refers to medal_id <> 4;
[query_database(**{'query': 'SELECT COUNT(T3.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id INNER JOIN person_region AS T3 ON T2.person_id = T3.person_id WHERE T3.region_id = 151 AND T1.medal_id != 4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
4,978
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question List out all the gold medalist winners in cycling sport. Clarification: gold medalist winners refer to full_name where medal_name = 'Gold'; cycling sport refers to sport_name = 'Cycling';
[query_database(**{'query': 'SELECT DISTINCT T5.full_name FROM event AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.event_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN sport AS T4 ON T1.sport_id = T4.id INNER JOIN person AS T5 ON T3.person_id = T5.id WHERE T4.sport_name = 'Cycling' AND T2.medal_id = 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question What is the ratio male to female athletes in the 2012 Summer Olympic? Clarification: DIVIDE(COUNT(gender = 'M'), COUNT(gender = 'F')) where games_name = '2012 Summer';
[query_database(**{'query': 'SELECT CAST(COUNT(CASE WHEN T3.gender = 'M' THEN 1 ELSE NULL END) AS REAL) / COUNT(CASE WHEN T3.gender = 'F' THEN 1 ELSE NULL END) 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 T1.games_name = '2012 Summer''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question What is the average height of male athletes playing basketball sport? Clarification: AVG(height) where sport_name = 'Basketball' and event_name = 'Basketball Men''s';
[query_database(**{'query': 'SELECT AVG(T5.height) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id INNER JOIN competitor_event AS T3 ON T2.id = T3.event_id INNER JOIN games_competitor AS T4 ON T3.competitor_id = T4.id INNER JOIN person AS T5 ON T4.person_id = T5.id WHERE T1.sport_name = 'Basketball' AND T5.gender = 'M''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
4,989
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question How many athletes are there in the region where Clara Hughes is from? Clarification:
[query_database(**{'query': 'SELECT COUNT(person_id) FROM person_region WHERE region_id = ( SELECT T1.region_id FROM person_region AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.id WHERE T2.full_name = 'Clara Hughes' )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
4,993
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question How many Olympic games were held in London? Clarification: London refers to city_name = 'London';
[query_database(**{'query': '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''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
4,997
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question How many 10-year old athletes participated in the Gymnastics Men's Parallel Bars, Teams event? Clarification: 10-year old athletes refer to competitor_id where age = 10; Gymnastics Men's Parallel Bars, Teams refer to event_name = 'Gymnastics Men''s Parallel Bars, Teams';
[query_database(**{'query': 'SELECT COUNT(T2.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id INNER JOIN event AS T3 ON T1.event_id = T3.id WHERE T3.event_name LIKE 'Gymnastics Men%s Parallel Bars, Teams' AND T2.age = 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,001
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question Give the id of the event "Shooting Mixed Skeet". Clarification: "Shooting Mixed Skeet" refers to event_name = 'Shooting Mixed Skeet';
[query_database(**{'query': 'SELECT id FROM event WHERE event_name = 'Shooting Mixed Skeet''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,005
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question How many people have won the gold medal of the event "Rowing Women's Coxed Eights"? Clarification: won the gold medal refers to medal_name = 'Gold'; event "Rowing Women's Coxed Eights" refers to event_name = 'Rowing Women''s Coxed Eights';
[query_database(**{'query': 'SELECT COUNT(T1.competitor_id) FROM competitor_event AS T1 INNER JOIN event AS T2 ON T1.event_id = T2.id INNER JOIN medal AS T3 ON T1.medal_id = T3.id WHERE T2.event_name LIKE 'Rowing Women%s Coxed Eights' AND T3.medal_name = 'Gold''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,009
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question How many 20 years old athletes were there in the 1984 Summer Olympic Games? Clarification: 20 years old athletes refer to person_id where age = 20; 1984 Summer Olympic Games refer to games_name = '1984 Summer';
[query_database(**{'query': 'SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '1984 Summer' AND T2.age = 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,013
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question Who is the heaviest athlete from Russia? Clarification: the heaviest athlete refers to full_name where MAX(weight); from Russia refers to region_name = 'Russia';
[query_database(**{'query': '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 = 'Russia' ORDER BY T3.weight DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,017
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question What is the percentage of athletes from Vanuatu who are taller than 175? Clarification: DIVIDE(COUNT(id where height > 175), COUNT(id)) as percentage where region_name = 'Vanuatu';
[query_database(**{'query': 'SELECT CAST(COUNT(CASE WHEN T3.height > 175 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.person_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 = 'Vanuatu''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,021
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question How many Summer games are there that were held in Paris? Clarification: Summer games refer to games_id where season = 'Summer'; Paris refers to city_name = 'Paris';
[query_database(**{'query': 'SELECT COUNT(T3.id) 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 = 'Paris' AND T3.season = 'Summer''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,025
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question What is the percentage of champions at the age of over 30? Clarification: DIVIDE(COUNT(competitor_id where age > 30), COUNT(competitor_id))as percentage where medal_id = 1;
[query_database(**{'query': 'SELECT CAST(COUNT(CASE WHEN T2.age > 30 THEN 1 END) AS REAL) * 100 / COUNT(T2.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id WHERE T1.medal_id = 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,029
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question Please list all competitors' names who participated in 1936 Summer. Clarification: competitors' names refer to full_name; in 1936 Summer refers to games_name = '1936 Summer';
[query_database(**{'query': 'SELECT T3.full_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 T1.games_name = '1936 Summer''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,033
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question What is the sport name of "Cross Country Skiing Men's 10/15 kilometres Pursuit" event? Clarification: "Cross Country Skiing Men's 10/15 kilometres Pursuit" refers to event_name = 'Cross Country Skiing Men''s 10/15 kilometres Pursuit';
[query_database(**{'query': 'SELECT T1.sport_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T2.event_name LIKE 'Cross Country Skiing Men%s 10/15 kilometres Pursuit''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,037
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question State the name of the city that held game id 3. Clarification: name of city refers to city_name
[query_database(**{'query': 'SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T1.games_id = 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,041
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question What is the average age of the people who participated in the winter season? Clarification: AVG(age) where season = 'Winter';
[query_database(**{'query': 'SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Winter''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,045
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question List out the id of event that achieve the gold medal. Clarification: the gold medal refers to medal_name = 'Gold';
[query_database(**{'query': 'SELECT T2.event_id FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id WHERE T1.medal_name = 'Gold''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question What is the name of the oldest competitor? Clarification: name refers to full_name; the oldest refers to MAX(age);
[query_database(**{'query': 'SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id ORDER BY T2.age DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,053
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question How many different football events are there? Clarification: events refer to event_name; football refers to sport_name = 'Football';
[query_database(**{'query': 'SELECT COUNT(T2.event_name) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Football''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,057
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question What is the name of the Olympic game with the most competitors held in Barcelona? Clarification: Barcelona refers to city_name = 'Barcelona'; the most competitors refer to MAX(COUNT(games_name)); name of game refers to games_name;
[query_database(**{'query': 'SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN games_city AS T3 ON T2.games_id = T3.games_id INNER JOIN city AS T4 ON T3.city_id = T4.id WHERE T4.city_name = 'Barcelona' GROUP BY T1.id ORDER BY COUNT(T2.person_id) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,061
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question List the name of the games that Georgios Abaris participated. Clarification: name of games refers to games_name;
[query_database(**{'query': '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 = 'Georgios Abaris''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,065
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question List the names of the games held in Paris. Clarification: Paris refers to city_name = 'Paris'; names of games refers to games_name;
[query_database(**{'query': '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 = 'Paris''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,069
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question List down the games ID of games held in Tokyo. Clarification: Tokyo refers to city_name = 'Tokyo';
[query_database(**{'query': 'SELECT T1.games_id FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'Tokyo''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,073
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question In which city the 2004 Summer was held? Clarification: in which city refers to city_name; the 2004 Summer refers to games_name = '2004 Summer';
[query_database(**{'query': '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 = '2004 Summer''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question How many female competitors were from Iran? Clarification: female competitors refer to person_id where gender = 'F'; from Iran refers to region_name = 'Iran';
[query_database(**{'query': 'SELECT COUNT(T2.person_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 = 'Iran' AND T3.gender = 'F''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,081
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/ ### Question Among the males, list the region name of people with height greater than 87% of the average height of all people listed. Clarification: males refer to gender = 'M'; height greater than 87% of the average height refers to height > MULTIPLY(AVG(height), 0.87);
[query_database(**{'query': 'SELECT DISTINCT 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.gender = 'M' AND T3.height * 100 > ( SELECT AVG(height) FROM person WHERE gender = 'M' ) * 87'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE city ( id INTEGER not null primary key, city_name TEXT default NULL ) /* 1 example row: SELECT * FROM city LIMIT 1; id ||city_name 1 ||Barcelona */ /* column definitions { "id": "the unique identifier of the city", "city_name": "the name of the city" }*/ CREATE TABLE games ( id INTEGER not null primary key, games_year INTEGER default NULL, games_name TEXT default NULL, season TEXT default NULL ) /* 1 example row: SELECT * FROM games LIMIT 1; id ||games_year || games_name ||season 1 || 1992 ||1992 Summer ||Summer */ /* column definitions { "id": "the unique identifier of the game", "games_year": "the year of the game", "games_name": "the name of the game", "season": "the season of the game" }*/ CREATE TABLE games_city ( games_id INTEGER default NULL, city_id INTEGER default NULL, foreign key (city_id) references city(id), foreign key (games_id) references games(id) ) /* 1 example row: SELECT * FROM games_city LIMIT 1; games_id ||city_id 1 || 1 */ /* column definitions { "games_id": "the id of the game\nMaps to games(id)", "city_id": "the id of the city that held the game\nMaps to city(id)" }*/ CREATE TABLE medal ( id INTEGER not null primary key, medal_name TEXT default NULL ) /* 1 example row: SELECT * FROM medal LIMIT 1; id ||medal_name 1 || Gold */ /* column definitions { "id ": "the unique identifier of the metal", "medal_name": "the name of the medal" }*/ CREATE TABLE noc_region ( id INTEGER not null primary key, noc TEXT default NULL, region_name TEXT default NULL ) /* 1 example row: SELECT * FROM noc_region LIMIT 1; id ||noc ||region_name 1 ||AFG ||Afghanistan */ /* column definitions { "id ": "the unique identifier of the noc region", "noc": "the NOC code of the region", "region_name": "the name of the region" }*/ CREATE TABLE person ( id INTEGER not null primary key, full_name TEXT default NULL, gender TEXT default NULL, height INTEGER default NULL, weight INTEGER default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; id ||full_name ||gender ||height ||weight 1 ||A Dijiang || M || 180 || 80 */ /* column definitions { "id": "the unique identifier of the person", "full_name": "the full name of the person", "gender": "the gender of the person", "height": "the height of the person", "weight": "the weight of the person" }*/ CREATE TABLE games_competitor ( id INTEGER not null primary key, games_id INTEGER default NULL, person_id INTEGER default NULL, age INTEGER default NULL, foreign key (games_id) references games(id), foreign key (person_id) references person(id) ) /* 1 example row: SELECT * FROM games_competitor LIMIT 1; id ||games_id ||person_id ||age 1 || 1 || 1 || 24 */ /* column definitions { "id ": "the unique identifier of the record", "games_id": "the id of the game\nMaps to games(id)", "person_id": "the id of the person\nMaps to person(id)", "age": "the age of the person when he/she participated in the game" }*/ CREATE TABLE person_region ( person_id INTEGER default NULL, region_id INTEGER default NULL, foreign key (person_id) references person(id), foreign key (region_id) references noc_region(id) ) /* 1 example row: SELECT * FROM person_region LIMIT 1; person_id ||region_id 1 || 42 */ /* column definitions { "person_id": "the id of the person\nMaps to person(id)", "region_id": "the id of the noc region\nMaps to noc_region(id)" }*/ CREATE TABLE sport ( id INTEGER not null primary key, sport_name TEXT default NULL ) /* 1 example row: SELECT * FROM sport LIMIT 1; id || sport_name 1 ||Aeronautics */ /* column definitions { "id": "the unique identifier of the sport", "sport_name": "the name of the sport" }*/ CREATE TABLE event ( id INTEGER not null primary key, sport_id INTEGER default NULL, event_name TEXT default NULL, foreign key (sport_id) references sport(id) ) /* 1 example row: SELECT * FROM event LIMIT 1; id ||sport_id || event_name 1 || 9 ||Basketball Men's Basketball */ /* column definitions { "id": "the unique identifier of the event", "sport_id": "the id of the sport\nMaps to sport(id)", "event_name": "the name of the event" }*/ CREATE TABLE competitor_event ( event_id INTEGER default NULL, competitor_id INTEGER default NULL, medal_id INTEGER default NULL, foreign key (competitor_id) references games_competitor(id), foreign key (event_id) references event(id), foreign key (medal_id) references medal(id) ) /* 1 example row: SELECT * FROM competitor_event LIMIT 1; event_id ||competitor_id ||medal_id 1 || 1 || 4 */ /* column definitions { "event_id": "the id of the event\nMaps to event(id)", "competitor_id": "the id of the competitor\nMaps to games_competitor(id)", "medal_id": "the id of the medal\nMaps to medal(id)" }*/
5,085
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Among all the residential areas in Delaware, how many of them implement daylight saving? Clarification: "Delaware" is a county; implement daylight savings refers to daylight_saving = 'Yes'
[query_database(**{'query': 'SELECT COUNT(T1.zip_code) FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'DELAWARE' AND T1.daylight_savings = 'Yes''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Please list the zip_codes of all the residential areas in Huntingdon county with over 30 employees. Clarification: over 30 employees refers to employee > 30; 'HUNTINGDON' is the county
[query_database(**{'query': 'SELECT DISTINCT T1.zip_code FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'HUNTINGDON' AND T1.employees > 30'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,093
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Please list the bad alias of all the residential areas with a median female age of over 32. Clarification: median female age of over 32 refers to median_female_age > 32
[query_database(**{'query': 'SELECT DISTINCT T2.bad_alias FROM zip_data AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code WHERE T1.female_median_age > 32'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,097
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question What is the alias of the city called Hartford? Clarification: "Hartford" is the city
[query_database(**{'query': 'SELECT DISTINCT T2.alias FROM zip_data AS T1 INNER JOIN alias AS T2 ON T1.zip_code = T2.zip_code WHERE T1.city = 'Hartford''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,101
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9640, 761, 197, 47416, 7497, 32, 1292, 794, 330, 1820, 836, 323, 279, 2361, 315, 279, 272, 1302, 64, 9640, 22549, 197, 47416, 7497, 32, 1857, 794, 330, 1820, 5274, 955, 315, 279, 9640, 702, 69077, 23421, 14700, 1614, 198, 1021, 262, 72578, 16139, 198, 310, 6156, 1401, 345, 262, 836, 260, 16139, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 1614, 10592, 220, 16, 26, 4815, 72578, 1393, 338, 836, 720, 692, 29334, 1393, 7098, 2106, 30500, 52248, 2355, 6343, 1075, 3330, 17931, 341, 197, 1, 77957, 794, 330, 1820, 72578, 315, 279, 1614, 836, 761, 197, 32586, 794, 330, 1820, 1614, 836, 702, 69077, 23421, 14700, 21716, 198, 1021, 262, 19329, 676, 26614, 851, 16139, 198, 310, 6156, 1401, 345, 262, 1176, 1292, 415, 16139, 345, 262, 1566, 1292, 996, 16139, 345, 262, 69312, 1835, 16139, 345, 262, 4717, 1881, 16139, 345, 262, 1614, 1881, 16139, 345, 262, 72578, 262, 16139, 345, 262, 4783, 1881, 16139, 345, 262, 11182, 286, 31481, 345, 262, 4363, 15380, 996, 26339, 345, 262, 7362, 1401, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question In California, how many delivery receptacles are there in the community post office that has the highest number of delivery receptacles? Clarification: in California refers to name = 'California' and state = 'CA'; 'Community Post Office' is the Type
[query_database(**{'query': 'SELECT COUNT(*) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.abbreviation = 'CA' AND T2.type LIKE '%Community Post Office%' AND T1.name = 'California' AND T2.state = 'CA''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,105
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question List all the zip codes in the county of New Castle in Delaware. Clarification: "NEW CASTLE" is the county; 'Delaware' is the name of state
[query_database(**{'query': 'SELECT DISTINCT T2.zip_code FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T2.county = 'NEW CASTLE' AND T1.name = 'Delaware''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,109
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Which state is Outagamie County in? Give the full name of the state. Clarification: "OUTAGAMIE" is the county
[query_database(**{'query': 'SELECT DISTINCT T2.name FROM country AS T1 INNER JOIN state AS T2 ON T1.state = T2.abbreviation WHERE T1.county = 'OUTAGAMIE''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,113
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question For the city with the most elders, what's its area code? Clarification: city with most elders refers to Max(over_65)
[query_database(**{'query': 'SELECT T2.area_code FROM zip_data AS T1 INNER JOIN area_code AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.area_code ORDER BY T1.over_65 DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,117
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9640, 761, 197, 47416, 7497, 32, 1292, 794, 330, 1820, 836, 323, 279, 2361, 315, 279, 272, 1302, 64, 9640, 22549, 197, 47416, 7497, 32, 1857, 794, 330, 1820, 5274, 955, 315, 279, 9640, 702, 69077, 23421, 14700, 1614, 198, 1021, 262, 72578, 16139, 198, 310, 6156, 1401, 345, 262, 836, 260, 16139, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 1614, 10592, 220, 16, 26, 4815, 72578, 1393, 338, 836, 720, 692, 29334, 1393, 7098, 2106, 30500, 52248, 2355, 6343, 1075, 3330, 17931, 341, 197, 1, 77957, 794, 330, 1820, 72578, 315, 279, 1614, 836, 761, 197, 32586, 794, 330, 1820, 1614, 836, 702, 69077, 23421, 14700, 21716, 198, 1021, 262, 19329, 676, 26614, 851, 16139, 198, 310, 6156, 1401, 345, 262, 1176, 1292, 415, 16139, 345, 262, 1566, 1292, 996, 16139, 345, 262, 69312, 1835, 16139, 345, 262, 4717, 1881, 16139, 345, 262, 1614, 1881, 16139, 345, 262, 72578, 262, 16139, 345, 262, 4783, 1881, 16139, 345, 262, 11182, 286, 31481, 345, 262, 4363, 15380, 996, 26339, 345, 262, 7362, 1401, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Which state is area code 878 in? Give the name of the state. Clarification:
[query_database(**{'query': 'SELECT T2.state FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 878'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,121
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Calculate the average male median age of all the residential areas in Windham county. Clarification: average male median age refers to Divide (Sum(male_median_age), Count(county)); 'WINDHAM' is the county
[query_database(**{'query': 'SELECT SUM(T2.male_median_age) / COUNT(T2.median_age) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'WINDHAM''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,125
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Which city and state has the bad alias of Lawrenceville? Clarification: "Lawrenceville" is the bad_alias
[query_database(**{'query': 'SELECT T2.city, T2.state FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.bad_alias = 'Lawrenceville' GROUP BY T2.city, T2.state'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,129
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question List 10 cities with a median age over 40. Include their zip codes and area codes. Clarification: median age over 40 refers to median_age > 40
[query_database(**{'query': 'SELECT T2.city, T2.zip_code, T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.median_age >= 40 LIMIT 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,133
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9640, 761, 197, 47416, 7497, 32, 1292, 794, 330, 1820, 836, 323, 279, 2361, 315, 279, 272, 1302, 64, 9640, 22549, 197, 47416, 7497, 32, 1857, 794, 330, 1820, 5274, 955, 315, 279, 9640, 702, 69077, 23421, 14700, 1614, 198, 1021, 262, 72578, 16139, 198, 310, 6156, 1401, 345, 262, 836, 260, 16139, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 1614, 10592, 220, 16, 26, 4815, 72578, 1393, 338, 836, 720, 692, 29334, 1393, 7098, 2106, 30500, 52248, 2355, 6343, 1075, 3330, 17931, 341, 197, 1, 77957, 794, 330, 1820, 72578, 315, 279, 1614, 836, 761, 197, 32586, 794, 330, 1820, 1614, 836, 702, 69077, 23421, 14700, 21716, 198, 1021, 262, 19329, 676, 26614, 851, 16139, 198, 310, 6156, 1401, 345, 262, 1176, 1292, 415, 16139, 345, 262, 1566, 1292, 996, 16139, 345, 262, 69312, 1835, 16139, 345, 262, 4717, 1881, 16139, 345, 262, 1614, 1881, 16139, 345, 262, 72578, 262, 16139, 345, 262, 4783, 1881, 16139, 345, 262, 11182, 286, 31481, 345, 262, 4363, 15380, 996, 26339, 345, 262, 7362, 1401, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question How many states are in the central time zone? Write their full names. Clarification: central time zone refers to time_zone = 'Central'
[query_database(**{'query': 'SELECT SUM(CASE WHEN T1.time_zone = 'Central' THEN 1 ELSE 0 END) AS count FROM zip_data AS T1 INNER JOIN state AS T2 ON T2.abbreviation = T1.state WHERE T1.time_zone = 'Central''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,137
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Calculate the average of 2020's population in each zip code. Clarification: average of 2020 population in each zip code refers to Divide (Sum(population_2020), Count(zip_code))
[query_database(**{'query': 'SELECT CAST(SUM(population_2020) AS REAL) / COUNT(zip_code) FROM zip_data'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,141
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question What is the longitude and latitude for the district represented by Grayson Alan? Clarification:
[query_database(**{'query': 'SELECT T1.latitude, T1.longitude FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T3.first_name = 'Grayson' AND T3.last_name = 'Alan''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,145
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question State the county for Arecibo City. Clarification: "Arecibo" is the city
[query_database(**{'query': 'SELECT DISTINCT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Arecibo''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,149
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Based on the population in 2020, calculate the percentage for the population of Asian in the zip code where the CBSA was Atmore, AL. Clarification: "Atmore, AL" is CBSA_name; percentage = Divide(asian_population, population_2020) * 100
[query_database(**{'query': 'SELECT CAST(T2.asian_population AS REAL) * 100 / T2.population_2010 FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Atmore, AL''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,153
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question What is the area code of the city with the largest land area? Clarification: largest land area refers to Max(land_area)
[query_database(**{'query': 'SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.land_area = ( SELECT MAX(land_area) FROM zip_data )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,157
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question What are the alias of the cities with 0 population in 2010? Clarification: with 0 population in 2010 refers to population_2010 = 0;
[query_database(**{'query': 'SELECT DISTINCT T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.population_2010 = 0'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,161
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Give at least five alias of cities with a postal point of post office. Clarification: postal point of post office refers to type = 'Post Office';
[query_database(**{'query': 'SELECT T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.type = 'Post Office' LIMIT 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,165
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Among the postal points in the District of Columbia, how many of them have an area with above 20000 black population? Clarification: District of Columbia refers to county = 'DISTRICT OF COLUMBIA'; postal points refer to zip_code; area with above 20000 black population refers to black_population > 20000;
[query_database(**{'query': 'SELECT COUNT(T1.zip_code) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'DISTRICT OF COLUMBIA' AND T2.black_population > 20000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,169
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Among the daylight savings areas in the Midwest region, how many postal points are there in Illinois? Clarification: postal points refer to zip_code; the daylight savings areas refer to daylight_savings = 'Yes'; Illinois is the name of the state, in which name = 'Illinois';
[query_database(**{'query': 'SELECT COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Illinois' AND T2.daylight_savings = 'Yes' AND T2.region = 'Midwest''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,172
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Compare the numbers of postal points under Smith Adrian and Heck Joe. Clarification: COUNT(zip_code where first_name = 'Smith' and last_name = 'Adrian') > COUNT(zip_code where first_name = 'Heck' and last_name = 'Joe');
[query_database(**{'query': 'SELECT CASE WHEN COUNT(CASE WHEN T1.first_name = 'Smith' AND T1.last_name = 'Adrian' THEN T2.zip_code ELSE NULL END) > COUNT(CASE WHEN T1.first_name = 'Heck' AND T1.last_name = 'Joe' THEN T2.zip_code ELSE NULL END) THEN 'Smith Adrian>Heck Joe' ELSE 'Smith Adrian<=Heck Joe' END AS COMPARE FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,177
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question What are the zip code for the Senate house? Clarification: House of Repsentatives can stand for senate house
[query_database(**{'query': 'SELECT T2.zip_code FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.House = 'House of Repsentatives' GROUP BY T2.zip_code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,180
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question List all the locations of postal points with the area code "410". Clarification: latitude and longitude coordinates can be used to identify the location; postal points refer to zip_code;
[query_database(**{'query': 'SELECT T2.latitude, T2.longitude FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 410'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,184
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question What is the code of the area with the largest Asian population? Clarification: the code of the area refers to area_code; area with the largest Asian population refers to MAX(asian_population);
[query_database(**{'query': 'SELECT T1.zip_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.asian_population ORDER BY T2.asian_population DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,188
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question What is the average household income in the city known as "Danzig"? Clarification: average household income refers to avg_income_per_household; city known as "Danzig" refers to bad_alias = 'Danzig';
[query_database(**{'query': 'SELECT T2.avg_income_per_household FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.bad_alias = 'Danzig''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,192
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Indicate the country name of the city Las Marias. Clarification:
[query_database(**{'query': 'SELECT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Las Marias''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,196
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Which state has the most bad aliases? Clarification: the most bad aliases refer to MAX(COUNT(bad_alias));
[query_database(**{'query': 'SELECT T2.state FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.state ORDER BY COUNT(T1.bad_alias) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,201
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9640, 761, 197, 47416, 7497, 32, 1292, 794, 330, 1820, 836, 323, 279, 2361, 315, 279, 272, 1302, 64, 9640, 22549, 197, 47416, 7497, 32, 1857, 794, 330, 1820, 5274, 955, 315, 279, 9640, 702, 69077, 23421, 14700, 1614, 198, 1021, 262, 72578, 16139, 198, 310, 6156, 1401, 345, 262, 836, 260, 16139, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 1614, 10592, 220, 16, 26, 4815, 72578, 1393, 338, 836, 720, 692, 29334, 1393, 7098, 2106, 30500, 52248, 2355, 6343, 1075, 3330, 17931, 341, 197, 1, 77957, 794, 330, 1820, 72578, 315, 279, 1614, 836, 761, 197, 32586, 794, 330, 1820, 1614, 836, 702, 69077, 23421, 14700, 21716, 198, 1021, 262, 19329, 676, 26614, 851, 16139, 198, 310, 6156, 1401, 345, 262, 1176, 1292, 415, 16139, 345, 262, 1566, 1292, 996, 16139, 345, 262, 69312, 1835, 16139, 345, 262, 4717, 1881, 16139, 345, 262, 1614, 1881, 16139, 345, 262, 72578, 262, 16139, 345, 262, 4783, 1881, 16139, 345, 262, 11182, 286, 31481, 345, 262, 4363, 15380, 996, 26339, 345, 262, 7362, 1401, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Name the country with the largest number of households in a residential area. Clarification: the largest number of households refers to MAX(households);
[query_database(**{'query': 'SELECT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T1.county ORDER BY T2.households DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,205
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question What is the elevation of the city with the alias East Longmeadow? Clarification:
[query_database(**{'query': 'SELECT T2.elevation FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'East Longmeadow''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,209
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question List down the names of the cities belonging to Noble, Oklahoma. Clarification: the county of Noble is located in the state of Oklahoma;
[query_database(**{'query': 'SELECT T3.city FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state INNER JOIN zip_data AS T3 ON T2.zip_code = T3.zip_code WHERE T1.name = 'Oklahoma' AND T2.county = 'NOBLE''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,213
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question List the area code of the city with the highest Hispanic population. Clarification: the highest Hispanic population refers to MAX(hispanic_population);
[query_database(**{'query': 'SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.hispanic_population = ( SELECT MAX(hispanic_population) FROM zip_data )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,217
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question List down the country of the cities with a population greater than 97% of the average population of all countries in 2020. Clarification: population_2020 > MULTIPLY(0.97, AVG(population_2020));
[query_database(**{'query': 'SELECT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.population_2020 > 0.97 * ( SELECT AVG(population_2020) FROM zip_data )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,221
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Who are the congress representatives of the postal points in Garfield? Clarification: Who are the congress representatives refer to first_name, last_name; Garfield is the city;
[query_database(**{'query': 'SELECT T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T1.city = 'Garfield''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,225
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Provide the zip codes and area codes of the postal points with the community post office type at the elevation above 6000. Clarification: community post office type refers to type = 'Community Post Office'; elevation above 6000 refers to elevation > 6000;
[query_database(**{'query': 'SELECT T1.zip_code, T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.type = 'Community Post Office ' AND T2.elevation > 6000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,228
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9640, 761, 197, 47416, 7497, 32, 1292, 794, 330, 1820, 836, 323, 279, 2361, 315, 279, 272, 1302, 64, 9640, 22549, 197, 47416, 7497, 32, 1857, 794, 330, 1820, 5274, 955, 315, 279, 9640, 702, 69077, 23421, 14700, 1614, 198, 1021, 262, 72578, 16139, 198, 310, 6156, 1401, 345, 262, 836, 260, 16139, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 1614, 10592, 220, 16, 26, 4815, 72578, 1393, 338, 836, 720, 692, 29334, 1393, 7098, 2106, 30500, 52248, 2355, 6343, 1075, 3330, 17931, 341, 197, 1, 77957, 794, 330, 1820, 72578, 315, 279, 1614, 836, 761, 197, 32586, 794, 330, 1820, 1614, 836, 702, 69077, 23421, 14700, 21716, 198, 1021, 262, 19329, 676, 26614, 851, 16139, 198, 310, 6156, 1401, 345, 262, 1176, 1292, 415, 16139, 345, 262, 1566, 1292, 996, 16139, 345, 262, 69312, 1835, 16139, 345, 262, 4717, 1881, 16139, 345, 262, 1614, 1881, 16139, 345, 262, 72578, 262, 16139, 345, 262, 4783, 1881, 16139, 345, 262, 11182, 286, 31481, 345, 262, 4363, 15380, 996, 26339, 345, 262, 7362, 1401, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/ ### Question Who is the CBSA officer of the post point in the area with the highest number of employees? Clarification: CBSA officer refers to CBSA_name; the highest number of employees refers to MAX(employees);
[query_database(**{'query': 'SELECT T1.CBSA_name FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.employees = ( SELECT MAX(employees) FROM zip_data )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE CBSA ( CBSA INTEGER primary key, CBSA_name TEXT, CBSA_type TEXT ) /* 1 example row: SELECT * FROM cbsa LIMIT 1; CBSA || CBSA_name ||CBSA_type 10300 ||Adrian, MI || Micro */ /* column definitions { "CBSA": "the code of the cbsa officer", "CBSA_name": "the name and the position of the cbsa officer ", "CBSA_type": "the office type of the officer" }*/ CREATE TABLE state ( abbreviation TEXT primary key, name TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; abbreviation || name AA ||Armed Forces Americas */ /* column definitions { "abbreviation": "the abbreviation of the state name", "name": "the state name" }*/ CREATE TABLE congress ( cognress_rep_id TEXT primary key, first_name TEXT, last_name TEXT, CID TEXT, party TEXT, state TEXT, abbreviation TEXT, House TEXT, District INTEGER, land_area REAL, foreign key (abbreviation) references state(abbreviation) ) /* 1 example row: SELECT * FROM congress LIMIT 1; cognress_rep_id ||first_name ||last_name || CID || party || state ||abbreviation || House ||District ||land_area AK || Young || Don ||N00008091 ||Republican ||Alaska || AK ||House of Repsentatives || None ||571951.26 */ /* column definitions { "cognress_rep_id": "the representative id of congress representatives", "first_name ": "the first name of the congress representative", "last_name": "the last name of the congress representative", "CID": "the unique identifier for the congress representative", "party": "the party of the representative", "state": "the state that the representative is from", "abbreviation": "the abbreviation of the state", "House": "the house that the representative is from", "District": "the id of the district that the representative represents ", "land_area": "the land area of the district" }*/ CREATE TABLE zip_data ( zip_code INTEGER primary key, city TEXT, state TEXT, multi_county TEXT, type TEXT, organization TEXT, time_zone TEXT, daylight_savings TEXT, latitude REAL, longitude REAL, elevation INTEGER, state_fips INTEGER, county_fips INTEGER, region TEXT, division TEXT, population_2020 INTEGER, population_2010 INTEGER, households INTEGER, avg_house_value INTEGER, avg_income_per_household INTEGER, persons_per_household REAL, white_population INTEGER, black_population INTEGER, hispanic_population INTEGER, asian_population INTEGER, american_indian_population INTEGER, hawaiian_population INTEGER, other_population INTEGER, male_population INTEGER, female_population INTEGER, median_age REAL, male_median_age REAL, female_median_age REAL, residential_mailboxes INTEGER, business_mailboxes INTEGER, total_delivery_receptacles INTEGER, businesses INTEGER, "1st_quarter_payroll" INTEGER, annual_payroll INTEGER, employees INTEGER, water_area REAL, land_area REAL, single_family_delivery_units INTEGER, multi_family_delivery_units INTEGER, total_beneficiaries INTEGER, retired_workers INTEGER, disabled_workers INTEGER, parents_and_widowed INTEGER, spouses INTEGER, children INTEGER, over_65 INTEGER, monthly_benefits_all INTEGER, monthly_benefits_retired_workers INTEGER, monthly_benefits_widowed INTEGER, CBSA INTEGER, foreign key (state) references state(abbreviation), foreign key (CBSA) references CBSA(CBSA) ) /* 1 example row: SELECT * FROM zip_data LIMIT 1; zip_code || city ||state ||multi_county || type || organization ||time_zone ||daylight_savings || latitude || longitude ||elevation ||state_fips ||county_fips || region || division ||population_2020 ||population_2010 ||households ||avg_house_value ||avg_income_per_household ||persons_per_household ||white_population ||black_population ||hispanic_population ||asian_population ||american_indian_population ||hawaiian_population ||other_population ||male_population ||female_population ||median_age ||male_median_age ||female_median_age ||residential_mailboxes ||business_mailboxes ||total_delivery_receptacles ||businesses ||1st_quarter_payroll ||annual_payroll ||employees ||water_area ||land_area ||single_family_delivery_units ||multi_family_delivery_units ||total_beneficiaries ||retired_workers ||disabled_workers ||parents_and_widowed ||spouses ||children ||over_65 ||monthly_benefits_all ||monthly_benefits_retired_workers ||monthly_benefits_widowed || CBSA 501 ||Holtsville || NY || No ||Unique Post Office ||I R S Service Center || Eastern || Yes ||40.817923 ||-73.045317 || 25 || 36 || 103 ||Northeast ||Middle Atlantic || 0 || 0 || 0 || 0 || 0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0.0 || 0.0 || 0.0 || 0 || 1 || 1 || 2 || 0 || 0 || 0 || 0.0 || 0.0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 ||35620 */ /* column definitions { "zip_code": "the zip code of the postal point", "city": "the city where the postal point locates", "state": "the state of the city", "multi_county": "whether the country that the city belongs to is multi_country", "type": "the type of the postal point", "organization ": "the organization to which the postal point belongs", "time_zone": "the time zone of the postal point location", "daylight_savings": "whether the location implements daylight savings", "latitude": "the latitude of the postal point location", "longitude": "the longitude of the postal point location", "elevation": "the elevation of the postal point location", "state_fips": "state-level FIPS code", "county_fips": "country-level FIPS code", "region": "the region where the postal point locates ", "division": "the division of the organization ", "population_2020": "the population of the residential area in 2020", "population_2010": "the population of the residential area in 2010", "households": "the number of the households in the residential area", "avg_house_value": "the average house value in the residential area", "avg_income_per_household": "the average income per household in the residential area", "persons_per_household": "the number of persons per household residential area", "white_population": "the population of white people in the residential area", "black_population": "the population of black people in the residential area", "hispanic_population": "the population of Hispanic people in the residential area", "asian_population": "the population of Asian people in the residential area", "american_indian_population": "the population of American Indian people in the residential area", "hawaiian_population": "the population of Hawaiian people in the residential area", "other_population": "the population of other races in the residential area", "male_population": "the population of males in the residential area", "female_population": "the population of females in the residential area", "median_age": "the median age of the residential area", "male_median_age": "the male median age in the residential area", "female_median_age": "the female median age in the residential area", "residential_mailboxes": "the number of residential mailboxes in the residential area", "business_mailboxes": "the number of business mailboxes in the residential area", "total_delivery_receptacles": "the total number of delivery receptacles", "businesses": "the number of businesses in the residential area", "1st_quarter_payroll": "the total wages reported in the 1st quarter payroll report of the residential area", "annual_payroll": "the total wages reported in the annual payroll report of the residential area", "employees": "the number of employees in the residential area", "water_area": "the water area of the residential area", "land_area": "the land area of the residential area", "single_family_delivery_units": "the number of single-family delivery units in the residential area", "multi_family_delivery_units": "the number of single-family delivery units in the residential area", "total_beneficiaries": "the total number of beneficiaries of the postal service", "retired_workers": "the number of retired workers in the residential area", "disabled_workers": "the number of disabled workers in the residential area", "parents_and_widowed": "the number of parents and widowed in the residential area", "spouses": "the number of spouses in the residential area", "children": "the number of children in the residential area", "over_65": "the number of people whose age is over 65 in the residential area", "monthly_benefits_all": "all benefit payments by month ", "monthly_benefits_retired_workers": "monthly benefit payments for retired workers", "monthly_benefits_widowed": "monthly benefit payments for retired workers", "CBSA": "the code of the cbsa officer" }*/ CREATE TABLE alias ( zip_code INTEGER primary key, alias TEXT, foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM alias LIMIT 1; zip_code || alias 501 ||Holtsville */ /* column definitions { "zip_code": "the zip code of the alias", "alias": "the alias of the city" }*/ CREATE TABLE area_code ( zip_code INTEGER, area_code INTEGER, primary key (zip_code, area_code), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM area_code LIMIT 1; zip_code ||area_code 501 || 631 */ /* column definitions { "zip_code": "the zip code of the area", "area_code": "the code of the area" }*/ CREATE TABLE avoid ( zip_code INTEGER, bad_alias TEXT, primary key (zip_code, bad_alias), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM avoid LIMIT 1; zip_code || bad_alias 501 ||Internal Revenue Service */ /* column definitions { "zip_code": "the zip code of the bad alias", "bad_alias": "the bad alias" }*/ CREATE TABLE country ( zip_code INTEGER, county TEXT, state TEXT, primary key (zip_code, county), foreign key (zip_code) references zip_data(zip_code), foreign key (state) references state(abbreviation) ) /* 1 example row: SELECT * FROM country LIMIT 1; zip_code || county ||state 501 ||SUFFOLK || NY */ /* column definitions { "zip_code": "the zip code of the state in the country", "county": "the country ", "state": "the state of the country" }*/ CREATE TABLE zip_congress ( zip_code INTEGER, district TEXT, primary key (zip_code, district), foreign key (district) references congress(cognress_rep_id), foreign key (zip_code) references zip_data(zip_code) ) /* 1 example row: SELECT * FROM zip_congress LIMIT 1; zip_code ||district 501 || NY-1 */ /* column definitions { "zip_code": "the zip code of the district", "district": "the district" }*/
5,232
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE customers ( CustomerID INTEGER primary key, First TEXT, Last TEXT, StreetAddress TEXT, City TEXT, State TEXT, ZipCode INTEGER, Email TEXT, PhoneNumber TEXT, FirstPurchaseDate DATE, SubscribedToEmailList TEXT, Gender TEXT ) /* 1 example row: SELECT * FROM customers LIMIT 1; CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender 101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||[email protected] ||(916) 918-1561 || 2013-05-30 || FALSE || M */ /* column definitions { "CustomerID": "the unique id for the customer", "First": "the first name of the customer", "Last": "the last name of the customer", "StreetAddress": "the address of the customer", "City": "the city where the customer lives", "State": "the state code", "ZipCode": "the zip code", "Email": "the customer's email", "PhoneNumber": "the customer's phone number", "FirstPurchaseDate": "the first purchase date of the customer", "SubscribedToEmailList": "whether the customer subscribe to the email list", "Gender": "the customer's gender" }*/ CREATE TABLE geolocation ( LocationID INTEGER primary key, Latitude REAL, Longitude REAL, foreign key (LocationID) references location(LocationID) ) /* 1 example row: SELECT * FROM geolocation LIMIT 1; LocationID ||Latitude ||Longitude 0 || 0.0 || 0.0 */ /* column definitions { "LocationID": "the id of the location", "Latitude": "the latitude of the location", "Longitude": "the longitude of the location" }*/ CREATE TABLE location ( LocationID INTEGER primary key, LocationName TEXT, StreetAddress TEXT, City TEXT, State TEXT, ZipCode INTEGER, foreign key (LocationID) references geolocation(LocationID) ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode 0 || LOST || None ||None || None || None */ /* column definitions { "LocationID": "the unique id for the location", "LocationName": "the name of the location", "StreetAddress": "the street address", "City": "the city where the location locates", "State": "the state code", "ZipCode": "the zip code of the location" }*/ CREATE TABLE rootbeerbrand ( BrandID INTEGER primary key, BrandName TEXT, FirstBrewedYear INTEGER, BreweryName TEXT, City TEXT, State TEXT, Country TEXT, Description TEXT, CaneSugar TEXT, CornSyrup TEXT, Honey TEXT, ArtificialSweetener TEXT, Caffeinated TEXT, Alcoholic TEXT, AvailableInCans TEXT, AvailableInBottles TEXT, AvailableInKegs TEXT, Website TEXT, FacebookPage TEXT, Twitter TEXT, WholesaleCost REAL, CurrentRetailPrice REAL ) /* 1 example row: SELECT * FROM rootbeerbrand LIMIT 1; BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice 10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0 */ /* column definitions { "BrandID": "the unique id for the brand", "BrandName": "the brand name", "FirstBrewedYear": "the first brewed year of the brand", "BreweryName": "the brewery name", "City": "the city where the brewery locates", "State": "the state code", "Country": "the country where the brewery locates", "Description": "the description of the brand", "CaneSugar": "whether the drink contains cane sugar", "CornSyrup": "whether the drink contains the corn syrup", "Honey": "whether the drink contains the honey ", "ArtificialSweetener": "whether the drink contains the artificial sweetener ", "Caffeinated": "whether the drink is caffeinated", "Alcoholic": "whether the drink is alcoholic", "AvailableInCans": "whether the drink is available in cans", "AvailableInBottles": "whether the drink is available in bottles", "AvailableInKegs": "whether the drink is available in kegs", "Website": "the website of the brand", "FacebookPage": "the facebook page of the brand", "Twitter": "the twitter of the brand", "WholesaleCost": "the wholesale cost", "CurrentRetailPrice": "the current retail price" }*/ CREATE TABLE rootbeer ( RootBeerID INTEGER primary key, BrandID INTEGER, ContainerType TEXT, LocationID INTEGER, PurchaseDate DATE, foreign key (LocationID) references geolocation(LocationID), foreign key (LocationID) references location(LocationID), foreign key (BrandID) references rootbeerbrand(BrandID) ) /* 1 example row: SELECT * FROM rootbeer LIMIT 1; RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate 100000 || 10001 || Bottle || 1 || 2015-07-03 */ /* column definitions { "RootBeerID": "the unique id for the root beer", "BrandID": "the brand id", "ContainerType": "the type of the container", "LocationID": "the location id of the selling company ", "PurchaseDate": "the purchase date of the root beer" }*/ CREATE TABLE rootbeerreview ( CustomerID INTEGER, BrandID INTEGER, StarRating INTEGER, ReviewDate DATE, Review TEXT, primary key (CustomerID, BrandID), foreign key (CustomerID) references customers(CustomerID), foreign key (BrandID) references rootbeerbrand(BrandID) ) /* 1 example row: SELECT * FROM rootbeerreview LIMIT 1; CustomerID ||BrandID ||StarRating ||ReviewDate ||Review 101811 || 10012 || 5 ||2013-07-15 || None */ /* column definitions { "CustomerID": "the id of the customer", "BrandID": "the id of the brand", "StarRating": "the star rating of the root beer", "ReviewDate": "the review date", "Review": "the specific review content" }*/ CREATE TABLE "transaction" ( TransactionID INTEGER primary key, CreditCardNumber INTEGER, CustomerID INTEGER, TransactionDate DATE, CreditCardType TEXT, LocationID INTEGER, RootBeerID INTEGER, PurchasePrice REAL, foreign key (CustomerID) references customers(CustomerID), foreign key (LocationID) references location(LocationID), foreign key (RootBeerID) references rootbeer(RootBeerID) ) /* 1 example row: SELECT * FROM `transaction` LIMIT 1; TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice 100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0 */ /* column definitions { "TransactionID": "the unique id for the transaction", "CreditCardNumber": "the number of the credit card used for payment", "CustomerID": "the customer id", "TransactionDate": "the transaction date", "CreditCardType": "the credit card type", "LocationID": "the location id of the selling company ", "RootBeerID": "the root beer id", "PurchasePrice": "the unit purchase price of the root beer" }*/ ### Question What is the name of the root beer brand that has the longest history? Clarification: name of the root beer brand refers to BrandName; longest history refers to MIN(FirstBrewedYear);
[query_database(**{'query': 'SELECT BrandName FROM rootbeerbrand WHERE FirstBrewedYear = ( SELECT MIN(FirstBrewedYear) FROM rootbeerbrand )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE customers ( CustomerID INTEGER primary key, First TEXT, Last TEXT, StreetAddress TEXT, City TEXT, State TEXT, ZipCode INTEGER, Email TEXT, PhoneNumber TEXT, FirstPurchaseDate DATE, SubscribedToEmailList TEXT, Gender TEXT ) /* 1 example row: SELECT * FROM customers LIMIT 1; CustomerID || First || Last || StreetAddress || City ||State ||ZipCode || Email || PhoneNumber ||FirstPurchaseDate ||SubscribedToEmailList ||Gender 101811 ||Kenneth ||Walton ||6715 Commonwealth Dr ||Sacramento || CA || 94256 ||[email protected] ||(916) 918-1561 || 2013-05-30 || FALSE || M */ /* column definitions { "CustomerID": "the unique id for the customer", "First": "the first name of the customer", "Last": "the last name of the customer", "StreetAddress": "the address of the customer", "City": "the city where the customer lives", "State": "the state code", "ZipCode": "the zip code", "Email": "the customer's email", "PhoneNumber": "the customer's phone number", "FirstPurchaseDate": "the first purchase date of the customer", "SubscribedToEmailList": "whether the customer subscribe to the email list", "Gender": "the customer's gender" }*/ CREATE TABLE geolocation ( LocationID INTEGER primary key, Latitude REAL, Longitude REAL, foreign key (LocationID) references location(LocationID) ) /* 1 example row: SELECT * FROM geolocation LIMIT 1; LocationID ||Latitude ||Longitude 0 || 0.0 || 0.0 */ /* column definitions { "LocationID": "the id of the location", "Latitude": "the latitude of the location", "Longitude": "the longitude of the location" }*/ CREATE TABLE location ( LocationID INTEGER primary key, LocationName TEXT, StreetAddress TEXT, City TEXT, State TEXT, ZipCode INTEGER, foreign key (LocationID) references geolocation(LocationID) ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||LocationName ||StreetAddress ||City ||State ||ZipCode 0 || LOST || None ||None || None || None */ /* column definitions { "LocationID": "the unique id for the location", "LocationName": "the name of the location", "StreetAddress": "the street address", "City": "the city where the location locates", "State": "the state code", "ZipCode": "the zip code of the location" }*/ CREATE TABLE rootbeerbrand ( BrandID INTEGER primary key, BrandName TEXT, FirstBrewedYear INTEGER, BreweryName TEXT, City TEXT, State TEXT, Country TEXT, Description TEXT, CaneSugar TEXT, CornSyrup TEXT, Honey TEXT, ArtificialSweetener TEXT, Caffeinated TEXT, Alcoholic TEXT, AvailableInCans TEXT, AvailableInBottles TEXT, AvailableInKegs TEXT, Website TEXT, FacebookPage TEXT, Twitter TEXT, WholesaleCost REAL, CurrentRetailPrice REAL ) /* 1 example row: SELECT * FROM rootbeerbrand LIMIT 1; BrandID ||BrandName ||FirstBrewedYear || BreweryName ||City ||State || Country || Description ||CaneSugar ||CornSyrup ||Honey ||ArtificialSweetener ||Caffeinated ||Alcoholic ||AvailableInCans ||AvailableInBottles ||AvailableInKegs || Website ||FacebookPage ||Twitter ||WholesaleCost ||CurrentRetailPrice 10001 || A&W || 1919 ||Dr Pepper Snapple Group ||Lodi || CA ||United States ||After setting up the first A&W Root Beer stand in California in 1919, Roy Allen partnered with Frank Wright to name their beverage A&W. The two partners then set out to open more root beer stands all across the United States. || FALSE || TRUE ||FALSE || FALSE || FALSE || FALSE || TRUE || FALSE || FALSE ||http://www.rootbeer.com/ || None || None || 0.42 || 1.0 */ /* column definitions { "BrandID": "the unique id for the brand", "BrandName": "the brand name", "FirstBrewedYear": "the first brewed year of the brand", "BreweryName": "the brewery name", "City": "the city where the brewery locates", "State": "the state code", "Country": "the country where the brewery locates", "Description": "the description of the brand", "CaneSugar": "whether the drink contains cane sugar", "CornSyrup": "whether the drink contains the corn syrup", "Honey": "whether the drink contains the honey ", "ArtificialSweetener": "whether the drink contains the artificial sweetener ", "Caffeinated": "whether the drink is caffeinated", "Alcoholic": "whether the drink is alcoholic", "AvailableInCans": "whether the drink is available in cans", "AvailableInBottles": "whether the drink is available in bottles", "AvailableInKegs": "whether the drink is available in kegs", "Website": "the website of the brand", "FacebookPage": "the facebook page of the brand", "Twitter": "the twitter of the brand", "WholesaleCost": "the wholesale cost", "CurrentRetailPrice": "the current retail price" }*/ CREATE TABLE rootbeer ( RootBeerID INTEGER primary key, BrandID INTEGER, ContainerType TEXT, LocationID INTEGER, PurchaseDate DATE, foreign key (LocationID) references geolocation(LocationID), foreign key (LocationID) references location(LocationID), foreign key (BrandID) references rootbeerbrand(BrandID) ) /* 1 example row: SELECT * FROM rootbeer LIMIT 1; RootBeerID ||BrandID ||ContainerType ||LocationID ||PurchaseDate 100000 || 10001 || Bottle || 1 || 2015-07-03 */ /* column definitions { "RootBeerID": "the unique id for the root beer", "BrandID": "the brand id", "ContainerType": "the type of the container", "LocationID": "the location id of the selling company ", "PurchaseDate": "the purchase date of the root beer" }*/ CREATE TABLE rootbeerreview ( CustomerID INTEGER, BrandID INTEGER, StarRating INTEGER, ReviewDate DATE, Review TEXT, primary key (CustomerID, BrandID), foreign key (CustomerID) references customers(CustomerID), foreign key (BrandID) references rootbeerbrand(BrandID) ) /* 1 example row: SELECT * FROM rootbeerreview LIMIT 1; CustomerID ||BrandID ||StarRating ||ReviewDate ||Review 101811 || 10012 || 5 ||2013-07-15 || None */ /* column definitions { "CustomerID": "the id of the customer", "BrandID": "the id of the brand", "StarRating": "the star rating of the root beer", "ReviewDate": "the review date", "Review": "the specific review content" }*/ CREATE TABLE "transaction" ( TransactionID INTEGER primary key, CreditCardNumber INTEGER, CustomerID INTEGER, TransactionDate DATE, CreditCardType TEXT, LocationID INTEGER, RootBeerID INTEGER, PurchasePrice REAL, foreign key (CustomerID) references customers(CustomerID), foreign key (LocationID) references location(LocationID), foreign key (RootBeerID) references rootbeer(RootBeerID) ) /* 1 example row: SELECT * FROM `transaction` LIMIT 1; TransactionID ||CreditCardNumber ||CustomerID ||TransactionDate ||CreditCardType ||LocationID ||RootBeerID ||PurchasePrice 100000 ||6011583832864739 || 864896 || 2014-07-07 || Discover || 2 || 105661 || 3.0 */ /* column definitions { "TransactionID": "the unique id for the transaction", "CreditCardNumber": "the number of the credit card used for payment", "CustomerID": "the customer id", "TransactionDate": "the transaction date", "CreditCardType": "the credit card type", "LocationID": "the location id of the selling company ", "RootBeerID": "the root beer id", "PurchasePrice": "the unit purchase price of the root beer" }*/