Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
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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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question How many airports are there per city in the US ordered from most to least?
[query_database(**{'query': 'SELECT count(*) , city FROM airports WHERE country = 'United States' GROUP BY city ORDER BY count(*) DESC'})]
### 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,853
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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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question How many cities are there that have more than 3 airports?
[query_database(**{'query': 'SELECT count(*) FROM (SELECT city FROM airports GROUP BY city HAVING count(*) > 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What are the cities that have more than 2 airports sorted by number of airports?
[query_database(**{'query': 'SELECT city FROM airports GROUP BY city HAVING count(*) > 2 ORDER BY count(*)'})]
### 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question For each airport name, how many routes start at that airport?
[query_database(**{'query': 'SELECT count(*) , T1.name FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.src_apid GROUP BY T1.name'})]
### 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,863
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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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the average elevation of all airports for each country.
[query_database(**{'query': 'SELECT avg(elevation) , country FROM airports GROUP BY country'})]
### 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question For each country and airline name, how many routes are there?
[query_database(**{'query': 'SELECT T1.country , T1.name , count(*) FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid GROUP BY T1.country , T1.name'})]
### 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,871
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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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Return the number of routes with destination airport in Italy operated by the airline with name 'American Airlines'.
[query_database(**{'query': 'SELECT count(*) FROM routes AS T1 JOIN airports AS T2 ON T1.dst_apid = T2.apid JOIN airlines AS T3 ON T1.alid = T3.alid WHERE T2.country = 'Italy' AND T3.name = 'American Airlines''})]
### 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,875
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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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the number of routes from the United States to Canada.
[query_database(**{'query': 'SELECT count(*) FROM routes WHERE dst_apid IN (SELECT apid FROM airports WHERE country = 'Canada') AND src_apid IN (SELECT apid FROM airports WHERE country = 'United States')'})]
### 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,879
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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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the name of airline which runs the most number of routes.
[query_database(**{'query': 'SELECT T1.name FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid GROUP BY T1.name ORDER BY count(*) 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the busiest destination airport that runs most number of routes in China.
[query_database(**{'query': 'SELECT T1.name FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.dst_apid WHERE T1.country = 'China' GROUP BY T1.name ORDER BY count(*) 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question what are the order id and customer id of the oldest order?
[query_database(**{'query': 'SELECT order_id , customer_id FROM orders ORDER BY date_order_placed 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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,891
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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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find the ids of all the order items whose product id is 11.
[query_database(**{'query': 'SELECT order_item_id FROM order_items WHERE product_id = 11'})]
### 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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,895
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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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find the details of all the distinct customers who have orders with status "On Road".
[query_database(**{'query': 'SELECT DISTINCT T1.customer_details FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "On Road"'})]
### 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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,899
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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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question What is the customer id of the customer who has the most orders?
[query_database(**{'query': 'SELECT T1.customer_id FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) 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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,903
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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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find the dates of orders which belong to the customer named "Jeramie".
[query_database(**{'query': 'SELECT T2.date_order_placed FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T1.customer_name = "Jeramie"'})]
### 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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,907
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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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Give me a list of distinct product ids from orders placed between 1975-01-01 and 1976-01-01?
[query_database(**{'query': 'SELECT DISTINCT T2.product_id FROM orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id WHERE T1.date_order_placed >= "1975-01-01" AND T1.date_order_placed <= "1976-01-01"'})]
### 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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,911
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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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find the id of the customers who have order status both "On Road" and "Shipped".
[query_database(**{'query': 'SELECT T1.customer_id FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "On Road" INTERSECT SELECT T1.customer_id FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "Shipped"'})]
### 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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,916
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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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question On what day was the order with invoice number 10 placed?
[query_database(**{'query': 'SELECT T1.date_order_placed FROM orders AS T1 JOIN shipments AS T2 ON T1.order_id = T2.order_id WHERE T2.invoice_number = 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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,919
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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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question List the name and count of each product in all orders.
[query_database(**{'query': 'SELECT T3.product_name , count(*) FROM orders AS T1 JOIN order_items AS T2 JOIN products AS T3 ON T1.order_id = T2.order_id AND T2.product_id = T3.product_id GROUP BY T3.product_id'})]
### 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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find the id of the order which is shipped most recently.
[query_database(**{'query': 'SELECT order_id FROM shipments WHERE shipment_date = (SELECT max(shipment_date) FROM shipments)'})]
### 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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question List the ids of all distinct orders ordered by placed date.
[query_database(**{'query': 'SELECT DISTINCT order_id FROM orders ORDER BY date_order_placed'})]
### 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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question What is the name of the customer who has the largest number of orders?
[query_database(**{'query': 'SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) 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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find the distinct details of invoices which are created before 1989-09-03 or after 2007-12-25.
[query_database(**{'query': 'SELECT DISTINCT invoice_details FROM invoices WHERE invoice_date < "1989-09-03" OR invoice_date > "2007-12-25"'})]
### 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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find the name of the customers who have at most two orders.
[query_database(**{'query': 'SELECT T2.customer_name FROM orders AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id HAVING count(*) <= 2'})]
### 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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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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` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question List the names of customers who have once canceled the purchase of the product "food" (the item status is "Cancel").
[query_database(**{'query': 'SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 JOIN order_items AS T3 JOIN products AS T4 ON T1.customer_id = T2.customer_id AND T2.order_id = T3.order_id AND T3.product_id = T4.product_id WHERE T3.order_item_status = "Cancel" AND T4.product_name = "food" GROUP BY T1.customer_id HAVING count(*) >= 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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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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 "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */ ### Question What is the maximum length in meters for the bridges and what are the architects' names?
[query_database(**{'query': 'SELECT max(T1.length_meters) , T2.name FROM bridge AS T1 JOIN architect AS T2 ON T1.architect_id = T2.id'})]
### 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 "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */
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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 "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */ ### Question What are the names of the mills which are not located in 'Donceel'?
[query_database(**{'query': 'SELECT name FROM mill WHERE LOCATION != 'Donceel''})]
### 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 "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */
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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 "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */ ### Question What are the ids, names and genders of the architects who built two bridges or one mill?
[query_database(**{'query': 'SELECT T1.id , T1.name , T1.gender FROM architect AS T1 JOIN bridge AS T2 ON T1.id = T2.architect_id GROUP BY T1.id HAVING count(*) = 2 UNION SELECT T1.id , T1.name , T1.gender FROM architect AS T1 JOIN mill AS T2 ON T1.id = T2.architect_id GROUP BY T1.id HAVING count(*) = 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 "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */
6,959
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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 "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */ ### Question What is the most common mill type, and how many are there?
[query_database(**{'query': 'SELECT TYPE , count(*) FROM mill GROUP BY TYPE ORDER BY count(*) 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 "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */
6,963
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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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question Count the number of book clubs.
[query_database(**{'query': 'SELECT count(*) FROM book_club'})]
### 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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,967
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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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question What are all the different book publishers?
[query_database(**{'query': 'SELECT DISTINCT publisher FROM book_club'})]
### 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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,971
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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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question How many books are there for each publisher?
[query_database(**{'query': 'SELECT publisher , count(*) FROM book_club GROUP BY publisher'})]
### 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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,975
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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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question How many books fall into each category?
[query_database(**{'query': 'SELECT category , count(*) FROM book_club GROUP BY category'})]
### 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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,979
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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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question What are the publishers who have published a book in both 1989 and 1990?
[query_database(**{'query': 'SELECT publisher FROM book_club WHERE YEAR = 1989 INTERSECT SELECT publisher FROM book_club WHERE YEAR = 1990'})]
### 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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,983
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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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question What are the titles, years, and directors of all movies, ordered by budget in millions?
[query_database(**{'query': 'SELECT title , YEAR , director FROM movie ORDER BY budget_million'})]
### 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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,987
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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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question Return the title and director of the movie released in the year 2000 or earlier that had the highest worldwide gross.
[query_database(**{'query': 'SELECT title , director FROM movie WHERE YEAR <= 2000 ORDER BY gross_worldwide 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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,990
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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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question Show all director names who have a movie in the year 1999 or 2000.
[query_database(**{'query': 'SELECT director FROM movie WHERE YEAR = 1999 OR YEAR = 2000'})]
### 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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,994
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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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question List all company names with a book published by Alyson.
[query_database(**{'query': 'SELECT T1.company_name FROM culture_company AS T1 JOIN book_club AS T2 ON T1.book_club_id = T2.book_club_id WHERE T2.publisher = 'Alyson''})]
### 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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,998
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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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question Show all company names with a movie directed in year 1999.
[query_database(**{'query': 'SELECT T2.company_name FROM movie AS T1 JOIN culture_company AS T2 ON T1.movie_id = T2.movie_id WHERE T1.year = 1999'})]
### 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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
0
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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 "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */ ### Question How many heads of the departments are older than 56 ?
[query_database(**{'query': 'SELECT count(*) FROM head WHERE age > 56'})]
### 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 "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */
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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 "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */ ### Question What are the names of the heads who are born outside the California state?
[query_database(**{'query': 'SELECT name FROM head WHERE born_state != 'California''})]
### 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 "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */
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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 "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */ ### Question Show the name and number of employees for the departments managed by heads whose temporary acting value is 'Yes'?
[query_database(**{'query': 'SELECT T1.name , T1.num_employees FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id WHERE T2.temporary_acting = '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 "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */
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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 "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */ ### Question List the states where both the secretary of 'Treasury' department and the secretary of 'Homeland Security' were born.
[query_database(**{'query': 'SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T1.name = 'Treasury' INTERSECT SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T1.name = 'Homeland Security''})]
### 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 "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */
17
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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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question Count the number of farms.
[query_database(**{'query': 'SELECT count(*) FROM farm'})]
### 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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
21
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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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question Return the hosts of competitions for which the theme is not Aliens?
[query_database(**{'query': 'SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens''})]
### 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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
25
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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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question Give the average number of working horses on farms with more than 5000 total horses.
[query_database(**{'query': 'SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000'})]
### 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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
30
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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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question List official names of cities in descending order of population.
[query_database(**{'query': 'SELECT Official_Name FROM city ORDER BY Population DESC'})]
### 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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
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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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question Give the years and official names of the cities of each competition.
[query_database(**{'query': 'SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID'})]
### 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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
38
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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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question Show the status of the city that has hosted the greatest number of competitions.
[query_database(**{'query': 'SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) 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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
43
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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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question What are the statuses and average populations of each city?
[query_database(**{'query': 'SELECT Status , avg(Population) FROM city GROUP BY Status'})]
### 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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
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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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question What is the most common status across all cities?
[query_database(**{'query': 'SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) 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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
50
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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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question Show the status shared by cities with population bigger than 1500 and smaller than 500.
[query_database(**{'query': 'SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500'})]
### 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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
54
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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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question Show the census ranking of cities whose status are not "Village".
[query_database(**{'query': 'SELECT Census_Ranking FROM city WHERE Status != "Village"'})]
### 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" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
58
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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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question what is id of students who registered some courses but the least number of courses in these students?
[query_database(**{'query': 'SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) 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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
61
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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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the first and last names of all the candidates?
[query_database(**{'query': 'SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id'})]
### 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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
67
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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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What is detail of the student who most recently registered course?
[query_database(**{'query': 'SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date 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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
69
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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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question How many students attend course English?
[query_database(**{'query': 'SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "English"'})]
### 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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
73
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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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question Find id of the candidate whose email is [email protected]?
[query_database(**{'query': 'SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = "[email protected]"'})]
### 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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
77
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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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What is detail of the student who registered the most number of courses?
[query_database(**{'query': 'SELECT T1.student_details FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY count(*) 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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
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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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question How many registed students do each course have? List course name and the number of their registered students?
[query_database(**{'query': 'SELECT T3.course_name , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id'})]
### 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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
85
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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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question Find the cell mobile number of the candidates whose assessment code is "Fail"?
[query_database(**{'query': 'SELECT T3.cell_mobile_number FROM candidates AS T1 JOIN candidate_assessments AS T2 ON T1.candidate_id = T2.candidate_id JOIN people AS T3 ON T1.candidate_id = T3.person_id WHERE T2.asessment_outcome_code = "Fail"'})]
### 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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
89
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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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What is the id of the student who most recently registered course 301?
[query_database(**{'query': 'SELECT student_id FROM student_course_attendance WHERE course_id = 301 ORDER BY date_of_attendance 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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
93
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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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question Find distinct cities of address of students?
[query_database(**{'query': 'SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id JOIN students AS T3 ON T2.person_id = T3.student_id'})]
### 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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
97
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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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question List the first names of people in alphabetical order?
[query_database(**{'query': 'SELECT first_name FROM people ORDER BY first_name'})]
### 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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
101
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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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question Find the id of courses which are registered or attended by student whose id is 121?
[query_database(**{'query': 'SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121'})]
### 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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question List the id of students who registered course statistics in the order of registration date.
[query_database(**{'query': 'SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.registration_date'})]
### 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 Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question Give me the dates when the max temperature was higher than 85.
[query_database(**{'query': 'SELECT date FROM weather WHERE max_temperature_f > 85'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
115
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question Give me the start station and end station for the trips with the three oldest id.
[query_database(**{'query': 'SELECT start_station_name , end_station_name FROM trip ORDER BY id LIMIT 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
119
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the id of the trip that has the shortest duration?
[query_database(**{'query': 'SELECT id FROM trip ORDER BY duration 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
122
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the total and maximum duration for all trips with the bike id 636?
[query_database(**{'query': 'SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
126
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question How many different bike ids are there?
[query_database(**{'query': 'SELECT count(DISTINCT bike_id) FROM trip'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
130
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question How many stations are in Mountain View?
[query_database(**{'query': 'SELECT COUNT(*) FROM station WHERE city = "Mountain View"'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
134
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the start station's name and id for the one that had the most start trips in August?
[query_database(**{'query': 'SELECT start_station_name , start_station_id FROM trip WHERE start_date LIKE "8/%" GROUP BY start_station_name ORDER BY COUNT(*) 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
138
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the number of days that had an average humity above 50 and an average visibility above 8?
[query_database(**{'query': 'SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
142
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the ids of the stations in San Francisco that normally have more than 10 bikes available?
[query_database(**{'query': 'SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
148
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the zip code that has the lowest average mean sea level pressure?
[query_database(**{'query': 'SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
152
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the mean longitude for all stations that have never had more than 10 bikes available?
[query_database(**{'query': 'SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available) > 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
156
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question For each zip code, find the ids of all trips that have a higher average mean temperature above 60?
[query_database(**{'query': 'SELECT T1.id FROM trip AS T1 JOIN weather AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.zip_code HAVING avg(T2.mean_temperature_f) > 60'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
160
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question Which days had a minimum dew point smaller than any day in zip code 94107, and in which zip codes were those measurements taken?
[query_database(**{'query': 'SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107)'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
164
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the id of the trip that started from the station with the highest dock count?
[query_database(**{'query': 'SELECT T1.id FROM trip AS T1 JOIN station AS T2 ON T1.start_station_id = T2.id ORDER BY T2.dock_count 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
168
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question On which day has it neither been foggy nor rained in the zip code of 94107?
[query_database(**{'query': 'SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the names of all stations that have more than 10 bikes available and are not located in San Jose?
[query_database(**{'query': 'SELECT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(bikes_available) > 10 EXCEPT SELECT name FROM station WHERE city = "San Jose"'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
176
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the date, average temperature and mean humidity for the days with the 3 largest maximum gust speeds?
[query_database(**{'query': 'SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the ids and names of all start stations that were the beginning of at least 200 trips?
[query_database(**{'query': 'SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question For each city, list their names in decreasing order by their highest station latitude.
[query_database(**{'query': 'SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the ids of the trips that lasted the longest and how long did they last?
[query_database(**{'query': 'SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question For each end station id, what is its name, latitude, and minimum duration for trips ended there?
[query_database(**{'query': 'SELECT T1.name , T1.lat , min(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.end_station_id GROUP BY T2.end_station_id'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are all the different zip codes that have a maximum dew point that was always below 70?
[query_database(**{'query': 'SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
200
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the dates that have an average sea level pressure between 30.3 and 31?
[query_database(**{'query': 'SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
204
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the different ids and names of the stations that have had more than 12 bikes available?
[query_database(**{'query': 'SELECT DISTINCT T1.id , T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
208
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the names of the stations that are located in Palo Alto but have never been the ending point of the trips
[query_database(**{'query': 'SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*) > 100'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
212
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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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the average latitude and longitude of all starting stations for the trips?
[query_database(**{'query': 'SELECT avg(T1.lat) , avg(T1.long) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id'})]
### 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 station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
216
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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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question What are the titles of the books whose writer is not "Elaine Lee"?
[query_database(**{'query': 'SELECT Title FROM book WHERE Writer != "Elaine Lee"'})]
### 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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
220
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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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question List the publisher of the publication with the highest price.
[query_database(**{'query': 'SELECT Publisher FROM publication ORDER BY Price 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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
224
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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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question Show the titles of books in descending order of publication price.
[query_database(**{'query': 'SELECT T1.Title FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID ORDER BY T2.Price DESC'})]
### 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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
228
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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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question List the writers who have written more than one book.
[query_database(**{'query': 'SELECT Writer FROM book GROUP BY Writer HAVING COUNT(*) > 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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question How many distinct publication dates are there in our record?
[query_database(**{'query': 'SELECT COUNT (DISTINCT Publication_Date) FROM publication'})]
### 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 "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
236
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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 "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */ ### Question List the name of actors in ascending alphabetical order.
[query_database(**{'query': 'SELECT Name FROM actor ORDER BY Name ASC'})]
### 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 "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */
240
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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 "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */ ### Question List the name of actors whose age is not 20.
[query_database(**{'query': 'SELECT Name FROM actor WHERE 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 "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */
243
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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 "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */ ### Question Return the characters for actors, ordered by age descending.
[query_database(**{'query': 'SELECT Character FROM actor ORDER BY age DESC'})]
### 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 "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */