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truongpdd
/
BIRD_for_augment_sql2question

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 number of different cities that employees live in.
[query_database(**{'query': 'SELECT COUNT(DISTINCT city) 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 */
858
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 last names of customers without invoice totals exceeding 20?
[query_database(**{'query': 'SELECT LastName FROM CUSTOMER EXCEPT SELECT T1.LastName FROM CUSTOMER AS T1 JOIN Invoice AS T2 ON T1.CustomerId = T2.CustomerId WHERE T2.total > 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 */
862
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 addresses of customers living in Germany who have had an invoice?
[query_database(**{'query': 'SELECT DISTINCT T1.Address FROM CUSTOMER AS T1 JOIN INVOICE AS T2 ON T1.CustomerId = T2.CustomerId WHERE T1.country = "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 `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 */
866
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the number of tracks that are of the media type "AAC audio file".
[query_database(**{'query': 'SELECT COUNT(*) FROM MEDIATYPE AS T1 JOIN TRACK AS T2 ON T1.MediaTypeId = T2.MediaTypeId WHERE T1.Name = "AAC audio file"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the first names and support rep ids for employees serving 10 or more customers?
[query_database(**{'query': 'SELECT T1.FirstName , T1.SupportRepId FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId GROUP BY T1.SupportRepId HAVING COUNT(*) >= 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 */
874
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the album titles, in alphabetical order?
[query_database(**{'query': 'SELECT Title FROM ALBUM ORDER BY Title'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the names of artists who have not released any albums?
[query_database(**{'query': 'SELECT Name FROM ARTIST EXCEPT SELECT T2.Name FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistId'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the average unit price of tracks from the Rock genre.
[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 */
884
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 birth dates corresponding to employees who live in the city of 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 */
888
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Cound the number of artists who have not released an 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 What are 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 What are all the customer phone numbers under the most popular policy type?
[query_database(**{'query': 'SELECT customer_phone FROM available_policies WHERE policy_type_code = (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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 total and average amount of settlements.
[query_database(**{'query': 'SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
904
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 services have been used more than twice in first notification of loss? Return the service name.
[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 How many policies are listed for 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 named "Dayana Robel"?
[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 = "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 */
915
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 services in the alphabetical order.
[query_database(**{'query': 'SELECT service_name FROM services ORDER BY service_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 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 */
919
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER 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 users who do not have a first notification of loss record.
[query_database(**{'query': 'SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( Customer_ID INTEGER 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 customers have used both the service named "Close a policy" and the service named "Upgrade a policy"? Give me the customer names.
[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" INTERSECT 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 = "New policy application"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
928
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 maximum and minimum settlement amount.
[query_database(**{'query': 'SELECT max(settlement_amount) , min(settlement_amount) FROM settlements'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
931
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Retrieve the open and close dates of all the policies associated with the customer whose name contains "Diana"
[query_database(**{'query': 'SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.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 "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 descending 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 */
941
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 product, chromosome and porphyria related to the enzymes which take effect at the location 'Cytosol'?
[query_database(**{'query': 'SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
945
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and trade names of the medicines which has 'Yes' value in the FDA record?
[query_database(**{'query': 'SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 and names of the medicine that can interact with two or more enzymes?
[query_database(**{'query': 'SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.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 "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 id and name of the enzyme with most number of medicines that can interact as 'activator'?
[query_database(**{'query': 'SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 most common interaction type between enzymes and medicine? And how many are there?
[query_database(**{'query': 'SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 medicines have the FDA approval status 'No' ?
[query_database(**{'query': 'SELECT count(*) FROM medicine WHERE FDA_approved = 'No''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 id and trade name of the medicines can interact with at least 3 enzymes?
[query_database(**{'query': 'SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id 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 "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 List the medicine name and trade name which can both interact as 'inhibitor' and 'activitor' with enzymes.
[query_database(**{'query': 'SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activitor''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
971
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 distinct FDA approval statuses are there for the medicines?
[query_database(**{'query': 'SELECT count(DISTINCT FDA_approved) FROM medicine'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 find the number of medicines offered by each trade.
[query_database(**{'query': 'SELECT trade_name , count(*) FROM medicine GROUP BY trade_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 "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 public schools and their locations.
[query_database(**{'query': 'SELECT school , LOCATION FROM university WHERE affiliation = 'Public''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 ) */
983
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 founded year of the newest non public school.
[query_database(**{'query': 'SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded 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 ) */
987
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 highest acc percent score in the competition?
[query_database(**{'query': 'SELECT acc_percent FROM basketball_match ORDER BY acc_percent 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 ) */
991
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 team name and acc regular season score of the school that was founded for the longest time?
[query_database(**{'query': 'SELECT t2.team_name , t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded 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 ) */
996
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 average enrollment of universities founded before 1850.
[query_database(**{'query': 'SELECT avg(enrollment) FROM university WHERE founded < 1850'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 ) */
1,000
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 total and minimum enrollments across 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 ) */
1,004
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 universities that do not participate in the baketball 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 ) */
1,008
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 different affiliation types.
[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 ) */
1,012
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of teams from universities that have a below average enrollment?
[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 ) */
1,016
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 different affiliations, and what is the total enrollment of schools founded after 1850 for each enrollment 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 ) */
1,020
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the information about 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 ) */
1,024
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which model has the least amount of RAM? List the model name and the amount of RAM.
[query_database(**{'query': 'SELECT Model_name , RAM_MiB FROM chip_model ORDER BY RAM_MiB 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 "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 What is maximum and minimum RAM size of phone produced by company named "Nokia Corporation"?
[query_database(**{'query': 'SELECT max(T1.RAM_MiB) , min(T1.RAM_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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Char cells, Pixels and Hardware colours for the screen of the phone whose hardware model name is "LG-P760".
[query_database(**{'query': 'SELECT T1.Char_cells , T1.Pixels , T1.Hardware_colours FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T2.Hardware_Model_name = "LG-P760";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 maximum, minimum and average number of used kb in screen mode.
[query_database(**{'query': 'SELECT max(used_kb) , min(used_kb) , avg(used_kb) FROM screen_mode;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,039
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 phones that were produced by "Nokia Corporation" or whose screen mode type is "Graphics."
[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 T1.Type = "Graphics" OR 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many phones belongs to each accreditation type?
[query_database(**{'query': 'SELECT Accreditation_type , count(*) FROM phone GROUP BY Accreditation_type'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the number of chip model that do not have wifi.
[query_database(**{'query': 'SELECT count(*) FROM chip_model WHERE wifi = 'No''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,051
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 pixels of the screen modes that are used by both phones with full accreditation types and phones with Provisional accreditation types.
[query_database(**{'query': 'SELECT t1.pixels FROM screen_mode AS t1 JOIN phone AS t2 ON t1.Graphics_mode = t2.screen_mode WHERE t2.Accreditation_type = 'Provisional' INTERSECT SELECT t1.pixels FROM screen_mode AS t1 JOIN phone AS t2 ON t1.Graphics_mode = t2.screen_mode WHERE t2.Accreditation_type = 'Full''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What are the names and capitals of each country?
[query_database(**{'query': 'SELECT Country_name , Capital 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 What are the different positions for match season?
[query_database(**{'query': 'SELECT DISTINCT POSITION FROM match_season'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 different positions of players from UCLA or Duke colleges?
[query_database(**{'query': 'SELECT DISTINCT POSITION FROM match_season WHERE College = "UCLA" OR College = "Duke"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the number of different teams involved in match season.
[query_database(**{'query': 'SELECT count(DISTINCT Team) FROM match_season'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of all teams?
[query_database(**{'query': 'SELECT Name FROM Team'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Who are the players from Indonesia?
[query_database(**{'query': 'SELECT T2.Player FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Country_name = "Indonesia"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,079
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 official native languages of countries who have players from Maryland or Duke colleges.
[query_database(**{'query': 'SELECT T1.Official_native_language FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.College = "Maryland" OR T2.College = "Duke"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Who are the different players, what season do they play in, and what is the name of the team they are on?
[query_database(**{'query': 'SELECT T1.Season , T1.Player , T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_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 "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 Count the number of different colleges that players who play for Columbus Crew are from.
[query_database(**{'query': 'SELECT count(DISTINCT T1.College) FROM match_season 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 How many players played each position?
[query_database(**{'query': 'SELECT POSITION , COUNT(*) FROM match_season GROUP BY POSITION'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the players who played in match season, sorted by college in ascending alphabetical order?
[query_database(**{'query': 'SELECT player FROM match_season ORDER BY College 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 "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 three colleges from which the most players are from?
[query_database(**{'query': 'SELECT College FROM match_season GROUP BY College ORDER BY count(*) 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 "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 names of colleges that have two or more players, listed in descending alphabetical order?
[query_database(**{'query': 'SELECT College FROM match_season GROUP BY College HAVING count(*) >= 2 ORDER BY College 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 "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 names of countries that have both players with position forward and players with position defender?
[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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of climbers in descending order of points.
[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 */
1,115
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 who are not from the country of Switzerland?
[query_database(**{'query': 'SELECT Name FROM climber WHERE Country != "Switzerland"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the number of different countries that climbers are from.
[query_database(**{'query': 'SELECT COUNT(DISTINCT Country) FROM climber'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,123
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 countries of the mountains that have a height larger than 5000.
[query_database(**{'query': 'SELECT Country FROM mountain WHERE Height > 5000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 What are the different ranges of the 3 mountains with the highest 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 heights of the mountains that they climb?
[query_database(**{'query': 'SELECT T1.Name , T2.Height 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 What are the different names of mountains ascended by climbers from the country of 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 How many climbers are 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 What are the names of countains that no climber has climbed?
[query_database(**{'query': 'SELECT Name FROM mountain WHERE Mountain_ID NOT IN (SELECT Mountain_ID FROM climber)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,147
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which range contains the most mountains?
[query_database(**{'query': 'SELECT Range FROM mountain GROUP BY Range 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 "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 List the total scores of body builders in ascending order.
[query_database(**{'query': 'SELECT Total FROM body_builder ORDER BY Total 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 "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 */
1,154
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 clean and jerk score of the body builder with the highest total score?
[query_database(**{'query': 'SELECT Clean_Jerk FROM body_builder ORDER BY Total 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 "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 name of the body builder with the greatest body weight?
[query_database(**{'query': 'SELECT T2.Name FROM body_builder AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Weight DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 in descending order of total scores?
[query_database(**{'query': 'SELECT T2.Name FROM body_builder AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Total 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 "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 Show all information about each body builder.
[query_database(**{'query': 'SELECT * 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 List the weight of the body builders who have snatch score higher than 140 or have the height greater than 200.
[query_database(**{'query': 'SELECT T2.weight FROM body_builder AS T1 JOIN people AS T2 ON T1.people_id = T2.people_id WHERE T1.snatch > 140 OR 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 "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 List the votes of elections in descending order.
[query_database(**{'query': 'SELECT Votes FROM election ORDER BY Votes 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 "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– */
1,179
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of representatives whose party is not "Republican"?
[query_database(**{'query': 'SELECT Name FROM Representative WHERE Party != "Republican"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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– */
1,183
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of representatives in descending order of votes?
[query_database(**{'query': 'SELECT T2.Name FROM election AS T1 JOIN representative AS T2 ON T1.Representative_ID = T2.Representative_ID ORDER BY votes 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 "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 average number of votes of representatives from party "Republican"?
[query_database(**{'query': 'SELECT avg(T1.Votes) FROM election AS T1 JOIN representative AS T2 ON T1.Representative_ID = T2.Representative_ID WHERE T2.Party = "Republican"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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– */
1,190
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 states have at least two representatives?
[query_database(**{'query': 'SELECT State FROM representative GROUP BY State 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 "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 How many apartment bookings are there in total?
[query_database(**{'query': 'SELECT count(*) 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 Give me a list of all the distinct building descriptions.
[query_database(**{'query': 'SELECT DISTINCT building_description FROM Apartment_Buildings'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,202
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the addresses and phones of all the buildings managed by "Brenden".
[query_database(**{'query': 'SELECT building_address , building_phone FROM Apartment_Buildings WHERE building_manager = "Brenden"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 is the minimum and maximum number of bathrooms of all the apartments?
[query_database(**{'query': 'SELECT min(bathroom_count) , max(bathroom_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 */
1,210
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Return the apartment number and the number of rooms for each apartment.
[query_database(**{'query': 'SELECT apt_number , room_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 */
1,214
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Return the apartment numbers of the apartments with type code "Flat".
[query_database(**{'query': 'SELECT apt_number FROM Apartments WHERE apt_type_code = "Flat"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,218
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Return the date of birth for all the guests with gender code "Male".
[query_database(**{'query': 'SELECT date_of_birth FROM Guests WHERE gender_code = "Male"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,222
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 booking start and end dates of the apartments with type code "Duplex"?
[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.apt_type_code = "Duplex"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,226
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 is the booking status code of the apartment with apartment number "Suite 634"?
[query_database(**{'query': 'SELECT T1.booking_status_code FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.apt_number = "Suite 634"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,230
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the average room count of the apartments that have booking status code "Provisional".
[query_database(**{'query': 'SELECT avg(room_count) FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T1.booking_status_code = "Provisional"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,234
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the start dates and end dates of all the apartment bookings made by guests with gender code "Female".
[query_database(**{'query': 'SELECT T1.booking_start_date , T1.booking_start_date FROM Apartment_Bookings AS T1 JOIN Guests AS T2 ON T1.guest_id = T2.guest_id WHERE T2.gender_code = "Female"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,238
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the facility codes of apartments with more than 4 bedrooms.
[query_database(**{'query': 'SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_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 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 */
1,242
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the total number of rooms of the apartments in the building with short name "Columbus Square".
[query_database(**{'query': 'SELECT sum(T2.room_count) FROM Apartment_Buildings AS T1 JOIN Apartments AS T2 ON T1.building_id = T2.building_id WHERE T1.building_short_name = "Columbus Square"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the apartment type codes and apartment numbers in the buildings managed by "Kyle".
[query_database(**{'query': 'SELECT T2.apt_type_code , T2.apt_number FROM Apartment_Buildings AS T1 JOIN Apartments AS T2 ON T1.building_id = T2.building_id WHERE T1.building_manager = "Kyle"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */