Datasets:
truongpdd
/
BIRD_for_augment_sql2question

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int64
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question Find the names of all the tracks that contain the word "you".
[query_database(**{'query': 'SELECT Name FROM TRACK WHERE Name LIKE '%you%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
831
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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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question What are the durations of the longest and the shortest tracks in milliseconds?
[query_database(**{'query': 'SELECT max(Milliseconds) , min(Milliseconds) FROM TRACK'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
835
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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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question What is the name of the most common genre in all tracks?
[query_database(**{'query': 'SELECT T1.Name FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId GROUP BY T2.GenreId 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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
839
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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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question Show the album names and ids for albums that contain tracks with unit price bigger than 1.
[query_database(**{'query': 'SELECT T1.Title , T2.AlbumID FROM ALBUM AS T1 JOIN TRACK AS T2 ON T1.AlbumId = T2.AlbumId WHERE T2.UnitPrice > 1 GROUP BY T2.AlbumID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
843
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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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question What is the average unit price of tracks that belong to Jazz genre?
[query_database(**{'query': 'SELECT AVG(UnitPrice) FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId WHERE T1.Name = "Jazz"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
847
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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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question How many customers have email that contains "gmail.com"?
[query_database(**{'query': 'SELECT COUNT(*) FROM CUSTOMER WHERE Email LIKE "%gmail.com%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
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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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question What city does the employee who helps the customer with postal code 70174 live in?
[query_database(**{'query': 'SELECT T2.City FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId WHERE T1.PostalCode = "70174"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
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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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question Find all invoice dates corresponding to customers with first name Astrid and last name Gruber.
[query_database(**{'query': 'SELECT T2.InvoiceDate FROM CUSTOMER AS T1 JOIN INVOICE AS T2 ON T1.CustomerId = T2.CustomerId WHERE T1.FirstName = "Astrid" AND LastName = "Gruber"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
859
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question Find the first names of all customers that live in Brazil and have an invoice.
[query_database(**{'query': 'SELECT DISTINCT T1.FirstName FROM CUSTOMER AS T1 JOIN INVOICE AS T2 ON T1.CustomerId = T2.CustomerId WHERE T1.country = "Brazil"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question List the phone numbers of all employees.
[query_database(**{'query': 'SELECT Phone FROM EMPLOYEE'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
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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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question What is the average duration in milliseconds of tracks that belong to Latin or Pop genre?
[query_database(**{'query': 'SELECT AVG(Milliseconds) FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId WHERE T1.Name = "Latin" OR T1.Name = "Pop"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
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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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question Please show the employee last names that serves no more than 20 customers.
[query_database(**{'query': 'SELECT T1.LastName FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId GROUP BY T1.SupportRepId HAVING COUNT(*) <= 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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question Please list the name and id of all artists that have at least 3 albums in alphabetical order.
[query_database(**{'query': 'SELECT T2.Name , T1.ArtistId FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistID GROUP BY T1.ArtistId HAVING COUNT(*) >= 3 ORDER BY T2.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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question What is the average unit price of rock tracks?
[query_database(**{'query': 'SELECT AVG(T2.UnitPrice) FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId WHERE T1.Name = "Rock"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
883
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question What are the birth dates of employees living in Edmonton?
[query_database(**{'query': 'SELECT BirthDate FROM EMPLOYEE WHERE City = "Edmonton"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
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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 `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ ### Question How many artists do not have any album?
[query_database(**{'query': 'SELECT count(*) FROM ARTIST WHERE artistid NOT IN(SELECT artistid FROM ALBUM)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Album` ( `AlbumId` integer NOT NULL , `Title` varchar(160) NOT NULL , `ArtistId` integer NOT NULL , PRIMARY KEY (`AlbumId`) , CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM album LIMIT 1; AlbumId || Title ||ArtistId 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE `Artist` ( `ArtistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`ArtistId`) ) /* 1 example row: SELECT * FROM artist LIMIT 1; ArtistId || Name 1 ||AC/DC */ CREATE TABLE `Customer` ( `CustomerId` integer NOT NULL , `FirstName` varchar(40) NOT NULL , `LastName` varchar(20) NOT NULL , `Company` varchar(80) DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) NOT NULL , `SupportRepId` integer DEFAULT NULL , PRIMARY KEY (`CustomerId`) , CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customer LIMIT 1; CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE `Employee` ( `EmployeeId` integer NOT NULL , `LastName` varchar(20) NOT NULL , `FirstName` varchar(20) NOT NULL , `Title` varchar(30) DEFAULT NULL , `ReportsTo` integer DEFAULT NULL , `BirthDate` datetime DEFAULT NULL , `HireDate` datetime DEFAULT NULL , `Address` varchar(70) DEFAULT NULL , `City` varchar(40) DEFAULT NULL , `State` varchar(40) DEFAULT NULL , `Country` varchar(40) DEFAULT NULL , `PostalCode` varchar(10) DEFAULT NULL , `Phone` varchar(24) DEFAULT NULL , `Fax` varchar(24) DEFAULT NULL , `Email` varchar(60) DEFAULT NULL , PRIMARY KEY (`EmployeeId`) , CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employee LIMIT 1; EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE `Genre` ( `GenreId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`GenreId`) ) /* 1 example row: SELECT * FROM genre LIMIT 1; GenreId ||Name 1 ||Rock */ CREATE TABLE `Invoice` ( `InvoiceId` integer NOT NULL , `CustomerId` integer NOT NULL , `InvoiceDate` datetime NOT NULL , `BillingAddress` varchar(70) DEFAULT NULL , `BillingCity` varchar(40) DEFAULT NULL , `BillingState` varchar(40) DEFAULT NULL , `BillingCountry` varchar(40) DEFAULT NULL , `BillingPostalCode` varchar(10) DEFAULT NULL , `Total` decimal(10,2) NOT NULL , PRIMARY KEY (`InvoiceId`) , CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice LIMIT 1; InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total 1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE `InvoiceLine` ( `InvoiceLineId` integer NOT NULL , `InvoiceId` integer NOT NULL , `TrackId` integer NOT NULL , `UnitPrice` decimal(10,2) NOT NULL , `Quantity` integer NOT NULL , PRIMARY KEY (`InvoiceLineId`) , CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoiceline LIMIT 1; InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE `MediaType` ( `MediaTypeId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`MediaTypeId`) ) /* 1 example row: SELECT * FROM mediatype LIMIT 1; MediaTypeId || Name 1 ||MPEG audio file */ CREATE TABLE `Playlist` ( `PlaylistId` integer NOT NULL , `Name` varchar(120) DEFAULT NULL , PRIMARY KEY (`PlaylistId`) ) /* 1 example row: SELECT * FROM playlist LIMIT 1; PlaylistId || Name 1 ||Music */ CREATE TABLE `PlaylistTrack` ( `PlaylistId` integer NOT NULL , `TrackId` integer NOT NULL , PRIMARY KEY (`PlaylistId`,`TrackId`) , CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlisttrack LIMIT 1; PlaylistId ||TrackId 1 || 1 */ CREATE TABLE `Track` ( `TrackId` integer NOT NULL , `Name` varchar(200) NOT NULL , `AlbumId` integer DEFAULT NULL , `MediaTypeId` integer NOT NULL , `GenreId` integer DEFAULT NULL , `Composer` varchar(220) DEFAULT NULL , `Milliseconds` integer NOT NULL , `Bytes` integer DEFAULT NULL , `UnitPrice` decimal(10,2) NOT NULL , PRIMARY KEY (`TrackId`) , CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION , CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM track LIMIT 1; TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */
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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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */ ### Question Find all the phone numbers.
[query_database(**{'query': 'SELECT customer_phone FROM available_policies'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */
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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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */ ### Question Which policy type has the most records in the database?
[query_database(**{'query': 'SELECT policy_type_code FROM available_policies GROUP BY policy_type_code 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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */
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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */ ### Question Find the policy type used by more than 4 customers.
[query_database(**{'query': 'SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */
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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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */ ### Question Find the name of services that have been used for more than 2 times in first notification of loss.
[query_database(**{'query': 'SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */
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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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */ ### Question Count the total number of policies used by the customer named "Dayana Robel".
[query_database(**{'query': 'SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */
913
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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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */ ### Question What are all the policy types of the customer that has the most policies listed?
[query_database(**{'query': 'SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_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 Customers ( Customer_ID INTEGER NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */
917
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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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */ ### Question How many services are there?
[query_database(**{'query': 'SELECT count(*) FROM services'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */
921
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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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */ ### Question Find the names of customers who have used either the service "Close a policy" or the service "Upgrade a policy".
[query_database(**{'query': 'SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" OR t3.service_name = "Upgrade a policy"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */
925
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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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */ ### Question Find the IDs of customers whose name contains "Diana".
[query_database(**{'query': 'SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */
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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 NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */ ### Question List all the customers in increasing order of IDs.
[query_database(**{'query': 'SELECT customer_id , customer_name FROM customers ORDER BY customer_id 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 Customers ( Customer_ID INTEGER NOT NULL, Customer_name VARCHAR(40), PRIMARY KEY (Customer_ID) ) /* 1 example row: SELECT * FROM customers LIMIT 1; Customer_ID || Customer_name 194 ||America Jaskolski */ CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_name VARCHAR(40), PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID || Service_name 1 ||New policy application */ CREATE TABLE Available_Policies ( Policy_ID INTEGER NOT NULL, policy_type_code CHAR(15), Customer_Phone VARCHAR(255), PRIMARY KEY (Policy_ID), UNIQUE (Policy_ID) ) /* 1 example row: SELECT * FROM available_policies LIMIT 1; Policy_ID ||policy_type_code || Customer_Phone 246 || Life Insurance ||+16(2)5838999222 */ CREATE TABLE Customers_Policies ( Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Date_Opened DATE, Date_Closed DATE, PRIMARY KEY (Customer_ID, Policy_ID), FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID), FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID) ) /* 1 example row: SELECT * FROM customers_policies LIMIT 1; Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed 214 || 257 || 2016-11-19 || 2018-03-04 */ CREATE TABLE First_Notification_of_Loss ( FNOL_ID INTEGER NOT NULL, Customer_ID INTEGER NOT NULL, Policy_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, PRIMARY KEY (FNOL_ID), UNIQUE (FNOL_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID), FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID) ) /* 1 example row: SELECT * FROM first_notification_of_loss LIMIT 1; FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID 532 || 214 || 257 || 6 */ CREATE TABLE Claims ( Claim_ID INTEGER NOT NULL, FNOL_ID INTEGER NOT NULL, Effective_Date DATE, PRIMARY KEY (Claim_ID), UNIQUE (Claim_ID), FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID) ) /* 1 example row: SELECT * FROM claims LIMIT 1; Claim_ID ||FNOL_ID ||Effective_Date 134 || 1722 || 1973-08-18 */ CREATE TABLE Settlements ( Settlement_ID INTEGER NOT NULL, Claim_ID INTEGER, Effective_Date DATE, Settlement_Amount REAL, PRIMARY KEY (Settlement_ID), UNIQUE (Settlement_ID), FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID) ) /* 1 example row: SELECT * FROM settlements LIMIT 1; Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount 161 || 717 || 2009-11-20 || 6451.65 */
933
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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 "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */ ### Question How many kinds of enzymes are there?
[query_database(**{'query': 'SELECT count(*) FROM enzyme'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */
935
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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 "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */ ### Question List the name of enzymes in descending lexicographical order.
[query_database(**{'query': 'SELECT name FROM enzyme ORDER BY name 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 "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */
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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 "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */ ### Question What is the maximum Online Mendelian Inheritance in Man (OMIM) value of the enzymes?
[query_database(**{'query': 'SELECT max(OMIM) FROM enzyme'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */
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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 "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */ ### Question What are the names of enzymes who does not produce 'Heme'?
[query_database(**{'query': 'SELECT name FROM enzyme WHERE product != 'Heme''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */
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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 "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */ ### Question What are the names of enzymes in the medicine named 'Amisulpride' that can serve as an 'inhibitor'?
[query_database(**{'query': 'SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */
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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 "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */ ### Question What are the ids, names and FDA approval status of medicines in descending order of the number of enzymes that it can interact with.
[query_database(**{'query': 'SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id 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 "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */
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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 "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */ ### Question What is the type of interaction for the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?
[query_database(**{'query': 'SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */
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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 "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */ ### Question How many enzymes do not have any interactions?
[query_database(**{'query': 'SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction );'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */
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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 "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */ ### Question What are the distinct name, location and products of the enzymes which has any 'inhibitor' interaction?
[query_database(**{'query': 'SELECT DISTINCT T1.name , T1.location , T1.product FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.enzyme_id = T1.id WHERE T2.interaction_type = 'inhibitor''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */
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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 "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */ ### Question Show the medicine names and trade names that cannot interact with the enzyme with product 'Heme'.
[query_database(**{'query': 'SELECT name , trade_name FROM medicine EXCEPT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id JOIN enzyme AS T3 ON T3.id = T2.enzyme_id WHERE T3.product = 'Protoporphyrinogen IX''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */
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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 "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */ ### Question Which enzyme names have the substring "ALA"?
[query_database(**{'query': 'SELECT name FROM enzyme WHERE name LIKE "%ALA%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "medicine" ( "id" int, "name" text, "Trade_Name" text, "FDA_approved" text, primary key ("id") ) /* 1 example row: SELECT * FROM medicine LIMIT 1; id || name ||Trade_Name ||FDA_approved 1 ||Amisulpride || Solian || No */ CREATE TABLE "enzyme" ( "id" int, "name" text, "Location" text, "Product" text, "Chromosome" text, "OMIM" int, "Porphyria" text, primary key ("id") ) /* 1 example row: SELECT * FROM enzyme LIMIT 1; id || name || Location || Product ||Chromosome || OMIM ||Porphyria 1 ||ALA synthase ||Mitochondrion ||δ-Aminolevulinic acid || 3p21.1 ||125290 || none */ CREATE TABLE "medicine_enzyme_interaction" ( "enzyme_id" int, "medicine_id" int, "interaction_type" text, primary key ("enzyme_id", "medicine_id"), foreign key ("enzyme_id") references `enzyme`("id"), foreign key ("medicine_id") references `medicine`("id") ) /* 1 example row: SELECT * FROM medicine_enzyme_interaction LIMIT 1; enzyme_id ||medicine_id ||interaction_type 1 || 1 || inhibitor */
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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 "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */ ### Question List all schools and their nicknames in the order of founded year.
[query_database(**{'query': 'SELECT school , nickname FROM university ORDER BY founded'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */
981
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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 "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */ ### Question When was the school with the largest enrollment founded?
[query_database(**{'query': 'SELECT founded FROM university ORDER BY enrollment 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 "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */
986
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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 "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */ ### Question Count the number of schools that have had basketball matches.
[query_database(**{'query': 'SELECT count(DISTINCT school_id) FROM basketball_match'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */
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 "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */ ### Question Return the primary conference of the school with the lowest acc percentage score.
[query_database(**{'query': 'SELECT t1.Primary_conference FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t2.acc_percent 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 "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */
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 "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */ ### Question What are the all games score and location of the school called Clemson?
[query_database(**{'query': 'SELECT t2.All_Games , t1.location FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE team_name = 'Clemson''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */
999
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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 "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */ ### Question What is the total and minimum enrollment of all schools?
[query_database(**{'query': 'SELECT sum(enrollment) , min(enrollment) FROM university'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */
1,003
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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 "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */ ### Question How many schools do not participate in the basketball match?
[query_database(**{'query': 'SELECT count(*) FROM university WHERE school_id NOT IN (SELECT school_id FROM basketball_match)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */
1,007
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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 "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */ ### Question Find how many different affiliation types there are.
[query_database(**{'query': 'SELECT count(DISTINCT affiliation) FROM university'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */
1,011
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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 "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */ ### Question Find the team names of the universities whose enrollments are smaller than the average enrollment size.
[query_database(**{'query': 'SELECT t2.team_name FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE enrollment < (SELECT avg(enrollment) FROM university)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */
1,015
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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 "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */ ### Question Find the total number of students enrolled in the colleges that were founded after the year of 1850 for each affiliation type.
[query_database(**{'query': 'SELECT sum(Enrollment) , affiliation FROM university WHERE founded > 1850 GROUP BY affiliation'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */
1,019
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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 "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */ ### Question List all information regarding the basketball match.
[query_database(**{'query': 'SELECT * FROM basketball_match'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "basketball_match" ( "Team_ID" int, "School_ID" int, "Team_Name" text, "ACC_Regular_Season" text, "ACC_Percent" text, "ACC_Home" text, "ACC_Road" text, "All_Games" text, "All_Games_Percent" int, "All_Home" text, "All_Road" text, "All_Neutral" text, PRIMARY KEY ("Team_ID"), FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`) ) /* 1 example row: SELECT * FROM basketball_match LIMIT 1; Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral 1 || 1 ||North Carolina || 14–2 || .875 || 6–2 || 8–0 || 35–2 || 0.946 || 14–2 || 13–0 || 9–1 */ CREATE TABLE "university" ( "School_ID" int, "School" text, "Location" text, "Founded" real, "Affiliation" text, "Enrollment" real, "Nickname" text, "Primary_conference" text, PRIMARY KEY ("School_ID") ) /* 1 example row: SELECT * FROM university LIMIT 1; School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference 1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I ) */
1,023
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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 "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1 */ ### Question the names of models that launched between 2002 and 2004.
[query_database(**{'query': 'SELECT Model_name FROM chip_model WHERE Launch_year BETWEEN 2002 AND 2004;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1 */
1,028
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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 "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1 */ ### Question What is the average ROM size of phones produced by the company named "Nokia Corporation"?
[query_database(**{'query': 'SELECT avg(T1.ROM_MiB) FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T2.Company_name = "Nokia Corporation";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1 */
1,032
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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 "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1 */ ### Question List the hardware model name and company name for the phone whose screen mode type is "Graphics."
[query_database(**{'query': 'SELECT T2.Hardware_Model_name , T2.Company_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T1.Type = "Graphics";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 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 "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1 */ ### Question List the name of the phone model launched in year 2002 and with the highest RAM size.
[query_database(**{'query': 'SELECT T2.Hardware_Model_name FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T1.Launch_year = 2002 ORDER BY T1.RAM_MiB 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 "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 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 "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1 */ ### Question List the hardware model name for the phons that were produced by "Nokia Corporation" but whose screen mode type is not Text.
[query_database(**{'query': 'SELECT DISTINCT T2.Hardware_Model_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE t2.Company_name = "Nokia Corporation" AND T1.Type != "Text";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 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 "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1 */ ### Question Find the accreditation level that more than 3 phones use.
[query_database(**{'query': 'SELECT Accreditation_level FROM phone GROUP BY Accreditation_level 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 "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1 */
1,048
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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 "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1 */ ### Question List all the model names sorted by their launch year.
[query_database(**{'query': 'SELECT model_name FROM chip_model ORDER BY launch_year'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "chip_model" ( "Model_name" text, "Launch_year" real, "RAM_MiB" real, "ROM_MiB" real, "Slots" text, "WiFi" text, "Bluetooth" text, PRIMARY KEY ("Model_name") ) /* 1 example row: SELECT * FROM chip_model LIMIT 1; Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No */ CREATE TABLE "screen_mode" ( "Graphics_mode" real, "Char_cells" text, "Pixels" text, "Hardware_colours" real, "used_kb" real, "map" text, "Type" text, PRIMARY KEY ("Graphics_mode") ) /* 1 example row: SELECT * FROM screen_mode LIMIT 1; Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type 0.0 || 80 × 32 ||640 × 256 || 2.0 || 20.0 ||3000–7FFF ||Graphics */ CREATE TABLE "phone" ( "Company_name" text, "Hardware_Model_name" text, "Accreditation_type" text, "Accreditation_level" text, "Date" text, "chip_model" text, "screen_mode" text, PRIMARY KEY("Hardware_Model_name"), FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`), FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`) ) /* 1 example row: SELECT * FROM phone LIMIT 1; Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question How many countries are there in total?
[query_database(**{'query': 'SELECT count(*) FROM 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question Show all official native languages that contain the word "English".
[query_database(**{'query': 'SELECT Official_native_language FROM country WHERE Official_native_language LIKE "%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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question Show the players from college UCLA.
[query_database(**{'query': 'SELECT Player FROM match_season WHERE College = "UCLA"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */
1,064
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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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question Show the draft pick numbers and draft classes of players whose positions are defenders.
[query_database(**{'query': 'SELECT Draft_Pick_Number , Draft_Class FROM match_season WHERE POSITION = "Defender"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question Show the players and the years played.
[query_database(**{'query': 'SELECT Player , Years_Played FROM player'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question Show the season, the player, and the name of the country that player belongs to.
[query_database(**{'query': 'SELECT T2.Season , T2.Player , T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question What are the distinct positions of the players from a country whose capital is Dublin?
[query_database(**{'query': 'SELECT DISTINCT T2.Position FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Capital = "Dublin"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */
1,080
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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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question How many distinct official languages are there among countries of players whose positions are defenders.
[query_database(**{'query': 'SELECT count(DISTINCT T1.Official_native_language) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Defender"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question Show the positions of the players from the team with name "Ryley Goldner".
[query_database(**{'query': 'SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Ryley Goldner"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question Show the players and years played for players from team "Columbus Crew".
[query_database(**{'query': 'SELECT T1.Player , T1.Years_Played FROM player AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question Show the country names and the corresponding number of players.
[query_database(**{'query': 'SELECT Country_name , COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question Show the most common position of players in match seasons.
[query_database(**{'query': 'SELECT POSITION FROM match_season GROUP BY POSITION 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question Show the name of colleges that have at least two players.
[query_database(**{'query': 'SELECT College FROM match_season GROUP BY College 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question Return the names of countries that have players that play the Forward position, as well as players who play the Defender position.
[query_database(**{'query': 'SELECT T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Forward" INTERSECT SELECT T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Defender"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */
1,109
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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 "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 1 */ ### Question Return the colleges that have players who play the Midfielder position, as well as players who play the Defender position.
[query_database(**{'query': 'SELECT College FROM match_season WHERE POSITION = "Midfielder" INTERSECT SELECT College FROM match_season WHERE POSITION = "Defender"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) /* 1 example row: SELECT * FROM country LIMIT 1; Country_id ||Country_name ||Capital ||Official_native_language 1 || Indonesia ||Jakarta || Bahasa Indonesia */ CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) /* 1 example row: SELECT * FROM team LIMIT 1; Team_id || Name 1 ||Columbus Crew */ CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM match_season LIMIT 1; Season || Player || Position ||Country ||Team ||Draft_Pick_Number || Draft_Class || College 1996.0 ||Steve Ralston Category:Articles with hCards ||Midfielder || 6 || 1 || 18 ||1996 MLS College Draft ||Florida International */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player ||Years_Played ||Total_WL ||Singles_WL ||Doubles_WL ||Team 1 ||Cho Soong-Jae (630) || 1 (2011) || 2–0 || 1–0 || 1–0 || 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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 1 */ ### Question What are the names of the climbers, ordered by points descending?
[query_database(**{'query': 'SELECT Name FROM climber ORDER BY Points 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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 1 */ ### Question Return the maximum number of points for climbers from the United Kingdom.
[query_database(**{'query': 'SELECT max(Points) FROM climber WHERE Country = "United Kingdom"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 1 */ ### Question Give the names of mountains in alphabetical order.
[query_database(**{'query': 'SELECT Name FROM mountain 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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 1 */
1,126
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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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 1 */ ### Question List the distinct ranges of the mountains with the top 3 prominence.
[query_database(**{'query': 'SELECT DISTINCT Range FROM mountain ORDER BY Prominence 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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 1 */
1,129
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 1 */ ### Question What are the names of climbers and the corresponding names of mountains that they climb?
[query_database(**{'query': 'SELECT T1.Name , T2.Name FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 1 */ ### Question Show the distinct names of mountains climbed by climbers from country "West Germany".
[query_database(**{'query': 'SELECT DISTINCT T2.Name FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID WHERE T1.Country = "West Germany"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 1 */ ### Question Please show the countries and the number of climbers from each country.
[query_database(**{'query': 'SELECT Country , COUNT(*) FROM climber 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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 1 */ ### Question List the countries that have more than one mountain.
[query_database(**{'query': 'SELECT Country FROM mountain GROUP BY Country 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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 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 "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 1 */ ### Question Show the countries that have mountains with height more than 5600 stories and mountains with height less than 5200.
[query_database(**{'query': 'SELECT Country FROM mountain WHERE Height > 5600 INTERSECT SELECT Country FROM mountain WHERE Height < 5200'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 1 */
1,149
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 1 */ ### Question What are the names of mountains that have a height of over 5000 or a prominence of over 1000?
[query_database(**{'query': 'SELECT Name FROM mountain WHERE Height > 5000 OR Prominence > 1000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) /* 1 example row: SELECT * FROM mountain LIMIT 1; Mountain_ID || Name ||Height ||Prominence || Range || Country 1 ||Kibo (Uhuru Pk) ||5895.0 || 5885.0 ||Kilimanjaro ||Tanzania */ CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) /* 1 example row: SELECT * FROM climber LIMIT 1; Climber_ID || Name || Country || Time ||Points ||Mountain_ID 1 ||Klaus Enders ||West Germany ||1:13.05.6 || 15.0 || 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 "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM body_builder LIMIT 1; Body_Builder_ID ||People_ID ||Snatch ||Clean_Jerk ||Total 1 || 1 || 142.5 || 175.0 ||317.5 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Birth_Date || Birth_Place 1 ||Jack Campbell || 182.0 || 80.0 ||January 1, 1992 ||Port Huron, Michigan */ ### Question What is the average snatch score of body builders?
[query_database(**{'query': 'SELECT avg(Snatch) FROM body_builder'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM body_builder LIMIT 1; Body_Builder_ID ||People_ID ||Snatch ||Clean_Jerk ||Total 1 || 1 || 142.5 || 175.0 ||317.5 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Birth_Date || Birth_Place 1 ||Jack Campbell || 182.0 || 80.0 ||January 1, 1992 ||Port Huron, Michigan */
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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 "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM body_builder LIMIT 1; Body_Builder_ID ||People_ID ||Snatch ||Clean_Jerk ||Total 1 || 1 || 142.5 || 175.0 ||317.5 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Birth_Date || Birth_Place 1 ||Jack Campbell || 182.0 || 80.0 ||January 1, 1992 ||Port Huron, Michigan */ ### Question What are the names of body builders whose total score is higher than 300?
[query_database(**{'query': 'SELECT T2.Name FROM body_builder AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Total > 300'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM body_builder LIMIT 1; Body_Builder_ID ||People_ID ||Snatch ||Clean_Jerk ||Total 1 || 1 || 142.5 || 175.0 ||317.5 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Birth_Date || Birth_Place 1 ||Jack Campbell || 182.0 || 80.0 ||January 1, 1992 ||Port Huron, Michigan */
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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 "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM body_builder LIMIT 1; Body_Builder_ID ||People_ID ||Snatch ||Clean_Jerk ||Total 1 || 1 || 142.5 || 175.0 ||317.5 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Birth_Date || Birth_Place 1 ||Jack Campbell || 182.0 || 80.0 ||January 1, 1992 ||Port Huron, Michigan */ ### Question What is the average total score of body builders with height bigger than 200?
[query_database(**{'query': 'SELECT avg(T1.Total) FROM body_builder AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Height > 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 "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM body_builder LIMIT 1; Body_Builder_ID ||People_ID ||Snatch ||Clean_Jerk ||Total 1 || 1 || 142.5 || 175.0 ||317.5 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Birth_Date || Birth_Place 1 ||Jack Campbell || 182.0 || 80.0 ||January 1, 1992 ||Port Huron, Michigan */
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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 "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM body_builder LIMIT 1; Body_Builder_ID ||People_ID ||Snatch ||Clean_Jerk ||Total 1 || 1 || 142.5 || 175.0 ||317.5 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Birth_Date || Birth_Place 1 ||Jack Campbell || 182.0 || 80.0 ||January 1, 1992 ||Port Huron, Michigan */ ### Question What are the birth places that are shared by at least two people?
[query_database(**{'query': 'SELECT Birth_Place FROM people GROUP BY Birth_Place 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 "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM body_builder LIMIT 1; Body_Builder_ID ||People_ID ||Snatch ||Clean_Jerk ||Total 1 || 1 || 142.5 || 175.0 ||317.5 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Birth_Date || Birth_Place 1 ||Jack Campbell || 182.0 || 80.0 ||January 1, 1992 ||Port Huron, Michigan */
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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 "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM body_builder LIMIT 1; Body_Builder_ID ||People_ID ||Snatch ||Clean_Jerk ||Total 1 || 1 || 142.5 || 175.0 ||317.5 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Birth_Date || Birth_Place 1 ||Jack Campbell || 182.0 || 80.0 ||January 1, 1992 ||Port Huron, Michigan */ ### Question How many distinct birth places are there?
[query_database(**{'query': 'SELECT count(DISTINCT Birth_Place) FROM people'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM body_builder LIMIT 1; Body_Builder_ID ||People_ID ||Snatch ||Clean_Jerk ||Total 1 || 1 || 142.5 || 175.0 ||317.5 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Birth_Date || Birth_Place 1 ||Jack Campbell || 182.0 || 80.0 ||January 1, 1992 ||Port Huron, Michigan */
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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 "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM body_builder LIMIT 1; Body_Builder_ID ||People_ID ||Snatch ||Clean_Jerk ||Total 1 || 1 || 142.5 || 175.0 ||317.5 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Birth_Date || Birth_Place 1 ||Jack Campbell || 182.0 || 80.0 ||January 1, 1992 ||Port Huron, Michigan */ ### Question What is the minimum snatch score?
[query_database(**{'query': 'SELECT min(snatch) FROM body_builder'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) /* 1 example row: SELECT * FROM body_builder LIMIT 1; Body_Builder_ID ||People_ID ||Snatch ||Clean_Jerk ||Total 1 || 1 || 142.5 || 175.0 ||317.5 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Birth_Date || Birth_Place 1 ||Jack Campbell || 182.0 || 80.0 ||January 1, 1992 ||Port Huron, Michigan */
1,177
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Representative_ID || Date || Votes ||Vote_Percent ||Seats ||Place 1 || 1 ||July 1942 ||9423.0 || 16.2 || 6.0 || 3.0 */ CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) /* 1 example row: SELECT * FROM representative LIMIT 1; Representative_ID || Name || State || Party ||Lifespan 1 ||Dan Quayle ||Indiana ||Republican || 1947– */ ### Question What are the minimum and maximum vote percents of elections?
[query_database(**{'query': 'SELECT min(Vote_Percent) , max(Vote_Percent) FROM election'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Representative_ID || Date || Votes ||Vote_Percent ||Seats ||Place 1 || 1 ||July 1942 ||9423.0 || 16.2 || 6.0 || 3.0 */ CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) /* 1 example row: SELECT * FROM representative LIMIT 1; Representative_ID || Name || State || Party ||Lifespan 1 ||Dan Quayle ||Indiana ||Republican || 1947– */
1,180
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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 "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Representative_ID || Date || Votes ||Vote_Percent ||Seats ||Place 1 || 1 ||July 1942 ||9423.0 || 16.2 || 6.0 || 3.0 */ CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) /* 1 example row: SELECT * FROM representative LIMIT 1; Representative_ID || Name || State || Party ||Lifespan 1 ||Dan Quayle ||Indiana ||Republican || 1947– */ ### Question What are the life spans of representatives from New York state or Indiana state?
[query_database(**{'query': 'SELECT Lifespan FROM representative WHERE State = "New York" OR State = "Indiana"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Representative_ID || Date || Votes ||Vote_Percent ||Seats ||Place 1 || 1 ||July 1942 ||9423.0 || 16.2 || 6.0 || 3.0 */ CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) /* 1 example row: SELECT * FROM representative LIMIT 1; Representative_ID || Name || State || Party ||Lifespan 1 ||Dan Quayle ||Indiana ||Republican || 1947– */
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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 "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Representative_ID || Date || Votes ||Vote_Percent ||Seats ||Place 1 || 1 ||July 1942 ||9423.0 || 16.2 || 6.0 || 3.0 */ CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) /* 1 example row: SELECT * FROM representative LIMIT 1; Representative_ID || Name || State || Party ||Lifespan 1 ||Dan Quayle ||Indiana ||Republican || 1947– */ ### Question What is the party of the representative that has the smallest number of votes.
[query_database(**{'query': 'SELECT T2.Party FROM election AS T1 JOIN representative AS T2 ON T1.Representative_ID = T2.Representative_ID ORDER BY votes ASC 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 "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Representative_ID || Date || Votes ||Vote_Percent ||Seats ||Place 1 || 1 ||July 1942 ||9423.0 || 16.2 || 6.0 || 3.0 */ CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) /* 1 example row: SELECT * FROM representative LIMIT 1; Representative_ID || Name || State || Party ||Lifespan 1 ||Dan Quayle ||Indiana ||Republican || 1947– */
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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 "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Representative_ID || Date || Votes ||Vote_Percent ||Seats ||Place 1 || 1 ||July 1942 ||9423.0 || 16.2 || 6.0 || 3.0 */ CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) /* 1 example row: SELECT * FROM representative LIMIT 1; Representative_ID || Name || State || Party ||Lifespan 1 ||Dan Quayle ||Indiana ||Republican || 1947– */ ### Question What is the party that has the largest number of representatives?
[query_database(**{'query': 'SELECT Party , COUNT(*) FROM representative GROUP BY Party 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 "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Representative_ID || Date || Votes ||Vote_Percent ||Seats ||Place 1 || 1 ||July 1942 ||9423.0 || 16.2 || 6.0 || 3.0 */ CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) /* 1 example row: SELECT * FROM representative LIMIT 1; Representative_ID || Name || State || Party ||Lifespan 1 ||Dan Quayle ||Indiana ||Republican || 1947– */
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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 "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Representative_ID || Date || Votes ||Vote_Percent ||Seats ||Place 1 || 1 ||July 1942 ||9423.0 || 16.2 || 6.0 || 3.0 */ CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) /* 1 example row: SELECT * FROM representative LIMIT 1; Representative_ID || Name || State || Party ||Lifespan 1 ||Dan Quayle ||Indiana ||Republican || 1947– */ ### Question Show the parties that have both representatives in New York state and representatives in Pennsylvania state.
[query_database(**{'query': 'SELECT Party FROM representative WHERE State = "New York" INTERSECT SELECT Party FROM representative WHERE State = "Pennsylvania"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Representative_ID || Date || Votes ||Vote_Percent ||Seats ||Place 1 || 1 ||July 1942 ||9423.0 || 16.2 || 6.0 || 3.0 */ CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) /* 1 example row: SELECT * FROM representative LIMIT 1; Representative_ID || Name || State || Party ||Lifespan 1 ||Dan Quayle ||Indiana ||Republican || 1947– */
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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 Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 1 */ ### Question What are the start date and end date of each apartment booking?
[query_database(**{'query': 'SELECT booking_start_date , booking_end_date FROM Apartment_Bookings'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 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 Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 1 */ ### Question Which buildings does "Emma" manage? Give me the short names of the buildings.
[query_database(**{'query': 'SELECT building_short_name FROM Apartment_Buildings WHERE building_manager = "Emma"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 1 */
1,205
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 1 */ ### Question Find all the building full names containing the word "court".
[query_database(**{'query': 'SELECT building_full_name FROM Apartment_Buildings WHERE building_full_name LIKE "%court%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 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 Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 1 */ ### Question Find the average number of bedrooms of all the apartments.
[query_database(**{'query': 'SELECT avg(bedroom_count) FROM Apartments'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 1 */
1,213
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 1 */ ### Question Find the average room count of the apartments that have the "Studio" type code.
[query_database(**{'query': 'SELECT avg(room_count) FROM Apartments WHERE apt_type_code = "Studio"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 1 */
1,217
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 1 */ ### Question What are the first names and last names of all the guests?
[query_database(**{'query': 'SELECT guest_first_name , guest_last_name FROM Guests'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 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 Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 1 */ ### Question What are the apartment number, start date, and end date of each apartment booking?
[query_database(**{'query': 'SELECT T2.apt_number , T1.booking_start_date , T1.booking_start_date FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_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 Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 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 Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 1 */ ### Question Find the booking start date and end date for the apartments that have more than two bedrooms.
[query_database(**{'query': 'SELECT T1.booking_start_date , T1.booking_start_date FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_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 Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 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 Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 1 */ ### Question Which apartments have bookings with status code "Confirmed"? Return their apartment numbers.
[query_database(**{'query': 'SELECT DISTINCT T2.apt_number FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T1.booking_status_code = "Confirmed"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) /* 1 example row: SELECT * FROM apartment_buildings LIMIT 1; building_id ||building_short_name ||building_full_name ||building_description || building_address ||building_manager || building_phone 133 || Normandie Court || Normandie Court || Studio ||7950 Casper Vista Apt. 176 Marquiseberg, CA 70496 || Emma ||(948)040-1064x387 */ CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) /* 1 example row: SELECT * FROM apartments LIMIT 1; apt_id ||building_id ||apt_type_code ||apt_number ||bathroom_count ||bedroom_count ||room_count 1 || 808 || Flat || Suite 645 || 1 || 3 || 7 */ CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) /* 1 example row: SELECT * FROM apartment_facilities LIMIT 1; apt_id ||facility_code 1 || Boardband */ CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) /* 1 example row: SELECT * FROM guests LIMIT 1; guest_id ||gender_code ||guest_first_name ||guest_last_name || date_of_birth 1 || Male || Kip || DuBuque ||1995-11-04 07:09:57 */ CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) /* 1 example row: SELECT * FROM apartment_bookings LIMIT 1; apt_booking_id ||apt_id ||guest_id ||booking_status_code || booking_start_date || booking_end_date 258 || 10 || 2 || Provisional ||2016-09-26 17:13:49 ||2017-10-07 11:38:48 */ CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) /* 1 example row: SELECT * FROM view_unit_status LIMIT 1; apt_id ||apt_booking_id || status_date ||available_yn 11 || 920 ||1970-09-28 10:24:29 || 1 */