Datasets:
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 "Songs" ( "SongId" INTEGER PRIMARY KEY, "Title" TEXT ) /* 1 example row: SELECT * FROM songs LIMIT 1; SongId ||Title */ CREATE TABLE "Albums" ( "AId" INTEGER PRIMARY KEY, "Title" TEXT, "Year" INTEGER, "Label" TEXT, "Type" TEXT ) /* 1 example row: SELECT * FROM albums LIMIT 1; AId ||Title ||Year ||Label ||Type */ CREATE TABLE "Band" ( "Id" INTEGER PRIMARY KEY, "Firstname" TEXT, "Lastname" TEXT ) /* 1 example row: SELECT * FROM band LIMIT 1; Id ||Firstname ||Lastname */ CREATE TABLE "Instruments" ( "SongId" INTEGER, "BandmateId" INTEGER, "Instrument" TEXT , PRIMARY KEY(SongId, BandmateId, Instrument), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (BandmateId) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM instruments LIMIT 1; SongId ||BandmateId ||Instrument */ CREATE TABLE "Performance" ( "SongId" INTEGER, "Bandmate" INTEGER, "StagePosition" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM performance LIMIT 1; SongId ||Bandmate ||StagePosition */ CREATE TABLE "Tracklists" ( "AlbumId" INTEGER, "Position" INTEGER, "SongId" INTEGER , PRIMARY KEY(AlbumId, Position), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (AlbumId) REFERENCES Albums(AId) ) /* 1 example row: SELECT * FROM tracklists LIMIT 1; AlbumId ||Position ||SongId */ CREATE TABLE "Vocals" ( "SongId" INTEGER, "Bandmate" INTEGER, "Type" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM vocals LIMIT 1; SongId ||Bandmate ||Type */ ### Question What are the types of vocals that the band member with the first name "Solveig" played the most?
[query_database(**{'query': 'SELECT TYPE FROM vocals AS T1 JOIN band AS T2 ON T1.bandmate = T2.id WHERE firstname = "Solveig" GROUP BY TYPE ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Songs" ( "SongId" INTEGER PRIMARY KEY, "Title" TEXT ) /* 1 example row: SELECT * FROM songs LIMIT 1; SongId ||Title */ CREATE TABLE "Albums" ( "AId" INTEGER PRIMARY KEY, "Title" TEXT, "Year" INTEGER, "Label" TEXT, "Type" TEXT ) /* 1 example row: SELECT * FROM albums LIMIT 1; AId ||Title ||Year ||Label ||Type */ CREATE TABLE "Band" ( "Id" INTEGER PRIMARY KEY, "Firstname" TEXT, "Lastname" TEXT ) /* 1 example row: SELECT * FROM band LIMIT 1; Id ||Firstname ||Lastname */ CREATE TABLE "Instruments" ( "SongId" INTEGER, "BandmateId" INTEGER, "Instrument" TEXT , PRIMARY KEY(SongId, BandmateId, Instrument), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (BandmateId) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM instruments LIMIT 1; SongId ||BandmateId ||Instrument */ CREATE TABLE "Performance" ( "SongId" INTEGER, "Bandmate" INTEGER, "StagePosition" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM performance LIMIT 1; SongId ||Bandmate ||StagePosition */ CREATE TABLE "Tracklists" ( "AlbumId" INTEGER, "Position" INTEGER, "SongId" INTEGER , PRIMARY KEY(AlbumId, Position), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (AlbumId) REFERENCES Albums(AId) ) /* 1 example row: SELECT * FROM tracklists LIMIT 1; AlbumId ||Position ||SongId */ CREATE TABLE "Vocals" ( "SongId" INTEGER, "Bandmate" INTEGER, "Type" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM vocals LIMIT 1; SongId ||Bandmate ||Type */
5,259
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Songs" ( "SongId" INTEGER PRIMARY KEY, "Title" TEXT ) /* 1 example row: SELECT * FROM songs LIMIT 1; SongId ||Title */ CREATE TABLE "Albums" ( "AId" INTEGER PRIMARY KEY, "Title" TEXT, "Year" INTEGER, "Label" TEXT, "Type" TEXT ) /* 1 example row: SELECT * FROM albums LIMIT 1; AId ||Title ||Year ||Label ||Type */ CREATE TABLE "Band" ( "Id" INTEGER PRIMARY KEY, "Firstname" TEXT, "Lastname" TEXT ) /* 1 example row: SELECT * FROM band LIMIT 1; Id ||Firstname ||Lastname */ CREATE TABLE "Instruments" ( "SongId" INTEGER, "BandmateId" INTEGER, "Instrument" TEXT , PRIMARY KEY(SongId, BandmateId, Instrument), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (BandmateId) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM instruments LIMIT 1; SongId ||BandmateId ||Instrument */ CREATE TABLE "Performance" ( "SongId" INTEGER, "Bandmate" INTEGER, "StagePosition" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM performance LIMIT 1; SongId ||Bandmate ||StagePosition */ CREATE TABLE "Tracklists" ( "AlbumId" INTEGER, "Position" INTEGER, "SongId" INTEGER , PRIMARY KEY(AlbumId, Position), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (AlbumId) REFERENCES Albums(AId) ) /* 1 example row: SELECT * FROM tracklists LIMIT 1; AlbumId ||Position ||SongId */ CREATE TABLE "Vocals" ( "SongId" INTEGER, "Bandmate" INTEGER, "Type" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM vocals LIMIT 1; SongId ||Bandmate ||Type */ ### Question What is the first name of the band mate who perfomed in the most songs?
[query_database(**{'query': 'SELECT t2.firstname FROM Performance AS t1 JOIN Band AS t2 ON t1.bandmate = t2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId GROUP BY firstname 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 "Songs" ( "SongId" INTEGER PRIMARY KEY, "Title" TEXT ) /* 1 example row: SELECT * FROM songs LIMIT 1; SongId ||Title */ CREATE TABLE "Albums" ( "AId" INTEGER PRIMARY KEY, "Title" TEXT, "Year" INTEGER, "Label" TEXT, "Type" TEXT ) /* 1 example row: SELECT * FROM albums LIMIT 1; AId ||Title ||Year ||Label ||Type */ CREATE TABLE "Band" ( "Id" INTEGER PRIMARY KEY, "Firstname" TEXT, "Lastname" TEXT ) /* 1 example row: SELECT * FROM band LIMIT 1; Id ||Firstname ||Lastname */ CREATE TABLE "Instruments" ( "SongId" INTEGER, "BandmateId" INTEGER, "Instrument" TEXT , PRIMARY KEY(SongId, BandmateId, Instrument), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (BandmateId) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM instruments LIMIT 1; SongId ||BandmateId ||Instrument */ CREATE TABLE "Performance" ( "SongId" INTEGER, "Bandmate" INTEGER, "StagePosition" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM performance LIMIT 1; SongId ||Bandmate ||StagePosition */ CREATE TABLE "Tracklists" ( "AlbumId" INTEGER, "Position" INTEGER, "SongId" INTEGER , PRIMARY KEY(AlbumId, Position), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (AlbumId) REFERENCES Albums(AId) ) /* 1 example row: SELECT * FROM tracklists LIMIT 1; AlbumId ||Position ||SongId */ CREATE TABLE "Vocals" ( "SongId" INTEGER, "Bandmate" INTEGER, "Type" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM vocals LIMIT 1; SongId ||Bandmate ||Type */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Songs" ( "SongId" INTEGER PRIMARY KEY, "Title" TEXT ) /* 1 example row: SELECT * FROM songs LIMIT 1; SongId ||Title */ CREATE TABLE "Albums" ( "AId" INTEGER PRIMARY KEY, "Title" TEXT, "Year" INTEGER, "Label" TEXT, "Type" TEXT ) /* 1 example row: SELECT * FROM albums LIMIT 1; AId ||Title ||Year ||Label ||Type */ CREATE TABLE "Band" ( "Id" INTEGER PRIMARY KEY, "Firstname" TEXT, "Lastname" TEXT ) /* 1 example row: SELECT * FROM band LIMIT 1; Id ||Firstname ||Lastname */ CREATE TABLE "Instruments" ( "SongId" INTEGER, "BandmateId" INTEGER, "Instrument" TEXT , PRIMARY KEY(SongId, BandmateId, Instrument), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (BandmateId) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM instruments LIMIT 1; SongId ||BandmateId ||Instrument */ CREATE TABLE "Performance" ( "SongId" INTEGER, "Bandmate" INTEGER, "StagePosition" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM performance LIMIT 1; SongId ||Bandmate ||StagePosition */ CREATE TABLE "Tracklists" ( "AlbumId" INTEGER, "Position" INTEGER, "SongId" INTEGER , PRIMARY KEY(AlbumId, Position), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (AlbumId) REFERENCES Albums(AId) ) /* 1 example row: SELECT * FROM tracklists LIMIT 1; AlbumId ||Position ||SongId */ CREATE TABLE "Vocals" ( "SongId" INTEGER, "Bandmate" INTEGER, "Type" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM vocals LIMIT 1; SongId ||Bandmate ||Type */ ### Question What is the first and last name of the artist who performed back stage for the song "Der Kapitan"?
[query_database(**{'query': 'SELECT T2.firstname , T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T3.Title = "Der Kapitan" AND T1.StagePosition = "back"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Songs" ( "SongId" INTEGER PRIMARY KEY, "Title" TEXT ) /* 1 example row: SELECT * FROM songs LIMIT 1; SongId ||Title */ CREATE TABLE "Albums" ( "AId" INTEGER PRIMARY KEY, "Title" TEXT, "Year" INTEGER, "Label" TEXT, "Type" TEXT ) /* 1 example row: SELECT * FROM albums LIMIT 1; AId ||Title ||Year ||Label ||Type */ CREATE TABLE "Band" ( "Id" INTEGER PRIMARY KEY, "Firstname" TEXT, "Lastname" TEXT ) /* 1 example row: SELECT * FROM band LIMIT 1; Id ||Firstname ||Lastname */ CREATE TABLE "Instruments" ( "SongId" INTEGER, "BandmateId" INTEGER, "Instrument" TEXT , PRIMARY KEY(SongId, BandmateId, Instrument), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (BandmateId) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM instruments LIMIT 1; SongId ||BandmateId ||Instrument */ CREATE TABLE "Performance" ( "SongId" INTEGER, "Bandmate" INTEGER, "StagePosition" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM performance LIMIT 1; SongId ||Bandmate ||StagePosition */ CREATE TABLE "Tracklists" ( "AlbumId" INTEGER, "Position" INTEGER, "SongId" INTEGER , PRIMARY KEY(AlbumId, Position), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (AlbumId) REFERENCES Albums(AId) ) /* 1 example row: SELECT * FROM tracklists LIMIT 1; AlbumId ||Position ||SongId */ CREATE TABLE "Vocals" ( "SongId" INTEGER, "Bandmate" INTEGER, "Type" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM vocals LIMIT 1; SongId ||Bandmate ||Type */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Songs" ( "SongId" INTEGER PRIMARY KEY, "Title" TEXT ) /* 1 example row: SELECT * FROM songs LIMIT 1; SongId ||Title */ CREATE TABLE "Albums" ( "AId" INTEGER PRIMARY KEY, "Title" TEXT, "Year" INTEGER, "Label" TEXT, "Type" TEXT ) /* 1 example row: SELECT * FROM albums LIMIT 1; AId ||Title ||Year ||Label ||Type */ CREATE TABLE "Band" ( "Id" INTEGER PRIMARY KEY, "Firstname" TEXT, "Lastname" TEXT ) /* 1 example row: SELECT * FROM band LIMIT 1; Id ||Firstname ||Lastname */ CREATE TABLE "Instruments" ( "SongId" INTEGER, "BandmateId" INTEGER, "Instrument" TEXT , PRIMARY KEY(SongId, BandmateId, Instrument), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (BandmateId) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM instruments LIMIT 1; SongId ||BandmateId ||Instrument */ CREATE TABLE "Performance" ( "SongId" INTEGER, "Bandmate" INTEGER, "StagePosition" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM performance LIMIT 1; SongId ||Bandmate ||StagePosition */ CREATE TABLE "Tracklists" ( "AlbumId" INTEGER, "Position" INTEGER, "SongId" INTEGER , PRIMARY KEY(AlbumId, Position), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (AlbumId) REFERENCES Albums(AId) ) /* 1 example row: SELECT * FROM tracklists LIMIT 1; AlbumId ||Position ||SongId */ CREATE TABLE "Vocals" ( "SongId" INTEGER, "Bandmate" INTEGER, "Type" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM vocals LIMIT 1; SongId ||Bandmate ||Type */ ### Question What are the song titles on the album "A Kiss Before You Go: Live in Hamburg"?
[query_database(**{'query': 'SELECT T3.title FROM albums AS T1 JOIN tracklists AS T2 ON T1.aid = T2.albumid JOIN songs AS T3 ON T2.songid = T3.songid WHERE T1.title = "A Kiss Before You Go: Live in Hamburg"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Songs" ( "SongId" INTEGER PRIMARY KEY, "Title" TEXT ) /* 1 example row: SELECT * FROM songs LIMIT 1; SongId ||Title */ CREATE TABLE "Albums" ( "AId" INTEGER PRIMARY KEY, "Title" TEXT, "Year" INTEGER, "Label" TEXT, "Type" TEXT ) /* 1 example row: SELECT * FROM albums LIMIT 1; AId ||Title ||Year ||Label ||Type */ CREATE TABLE "Band" ( "Id" INTEGER PRIMARY KEY, "Firstname" TEXT, "Lastname" TEXT ) /* 1 example row: SELECT * FROM band LIMIT 1; Id ||Firstname ||Lastname */ CREATE TABLE "Instruments" ( "SongId" INTEGER, "BandmateId" INTEGER, "Instrument" TEXT , PRIMARY KEY(SongId, BandmateId, Instrument), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (BandmateId) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM instruments LIMIT 1; SongId ||BandmateId ||Instrument */ CREATE TABLE "Performance" ( "SongId" INTEGER, "Bandmate" INTEGER, "StagePosition" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM performance LIMIT 1; SongId ||Bandmate ||StagePosition */ CREATE TABLE "Tracklists" ( "AlbumId" INTEGER, "Position" INTEGER, "SongId" INTEGER , PRIMARY KEY(AlbumId, Position), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (AlbumId) REFERENCES Albums(AId) ) /* 1 example row: SELECT * FROM tracklists LIMIT 1; AlbumId ||Position ||SongId */ CREATE TABLE "Vocals" ( "SongId" INTEGER, "Bandmate" INTEGER, "Type" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM vocals LIMIT 1; SongId ||Bandmate ||Type */
5,271
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Songs" ( "SongId" INTEGER PRIMARY KEY, "Title" TEXT ) /* 1 example row: SELECT * FROM songs LIMIT 1; SongId ||Title */ CREATE TABLE "Albums" ( "AId" INTEGER PRIMARY KEY, "Title" TEXT, "Year" INTEGER, "Label" TEXT, "Type" TEXT ) /* 1 example row: SELECT * FROM albums LIMIT 1; AId ||Title ||Year ||Label ||Type */ CREATE TABLE "Band" ( "Id" INTEGER PRIMARY KEY, "Firstname" TEXT, "Lastname" TEXT ) /* 1 example row: SELECT * FROM band LIMIT 1; Id ||Firstname ||Lastname */ CREATE TABLE "Instruments" ( "SongId" INTEGER, "BandmateId" INTEGER, "Instrument" TEXT , PRIMARY KEY(SongId, BandmateId, Instrument), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (BandmateId) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM instruments LIMIT 1; SongId ||BandmateId ||Instrument */ CREATE TABLE "Performance" ( "SongId" INTEGER, "Bandmate" INTEGER, "StagePosition" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM performance LIMIT 1; SongId ||Bandmate ||StagePosition */ CREATE TABLE "Tracklists" ( "AlbumId" INTEGER, "Position" INTEGER, "SongId" INTEGER , PRIMARY KEY(AlbumId, Position), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (AlbumId) REFERENCES Albums(AId) ) /* 1 example row: SELECT * FROM tracklists LIMIT 1; AlbumId ||Position ||SongId */ CREATE TABLE "Vocals" ( "SongId" INTEGER, "Bandmate" INTEGER, "Type" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM vocals LIMIT 1; SongId ||Bandmate ||Type */ ### Question How many songs appear in studio albums?
[query_database(**{'query': 'SELECT count(DISTINCT T3.title) FROM albums AS T1 JOIN tracklists AS T2 ON T1.aid = T2.albumid JOIN songs AS T3 ON T2.songid = T3.songid WHERE t1.type = "Studio"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Songs" ( "SongId" INTEGER PRIMARY KEY, "Title" TEXT ) /* 1 example row: SELECT * FROM songs LIMIT 1; SongId ||Title */ CREATE TABLE "Albums" ( "AId" INTEGER PRIMARY KEY, "Title" TEXT, "Year" INTEGER, "Label" TEXT, "Type" TEXT ) /* 1 example row: SELECT * FROM albums LIMIT 1; AId ||Title ||Year ||Label ||Type */ CREATE TABLE "Band" ( "Id" INTEGER PRIMARY KEY, "Firstname" TEXT, "Lastname" TEXT ) /* 1 example row: SELECT * FROM band LIMIT 1; Id ||Firstname ||Lastname */ CREATE TABLE "Instruments" ( "SongId" INTEGER, "BandmateId" INTEGER, "Instrument" TEXT , PRIMARY KEY(SongId, BandmateId, Instrument), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (BandmateId) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM instruments LIMIT 1; SongId ||BandmateId ||Instrument */ CREATE TABLE "Performance" ( "SongId" INTEGER, "Bandmate" INTEGER, "StagePosition" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM performance LIMIT 1; SongId ||Bandmate ||StagePosition */ CREATE TABLE "Tracklists" ( "AlbumId" INTEGER, "Position" INTEGER, "SongId" INTEGER , PRIMARY KEY(AlbumId, Position), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (AlbumId) REFERENCES Albums(AId) ) /* 1 example row: SELECT * FROM tracklists LIMIT 1; AlbumId ||Position ||SongId */ CREATE TABLE "Vocals" ( "SongId" INTEGER, "Bandmate" INTEGER, "Type" TEXT, PRIMARY KEY(SongId, Bandmate), FOREIGN KEY (SongId) REFERENCES Songs(SongId), FOREIGN KEY (Bandmate) REFERENCES Band(Id) ) /* 1 example row: SELECT * FROM vocals LIMIT 1; SongId ||Bandmate ||Type */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question Where is the headquarter of the company founded by James?
[query_database(**{'query': 'SELECT headquarter FROM manufacturers WHERE founder = 'James''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question Return the average, maximum, and total revenues across all manufacturers.
[query_database(**{'query': 'SELECT avg(revenue) , max(revenue) , sum(revenue) FROM manufacturers'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,283
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question What is the sum of revenue from companies with headquarters in Austin?
[query_database(**{'query': 'SELECT sum(revenue) FROM manufacturers WHERE headquarter = 'Austin''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,289
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question Who is the founders of companies whose first letter is S?
[query_database(**{'query': 'SELECT founder FROM manufacturers WHERE name LIKE 'S%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,293
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question Return the total revenue of companies with headquarters in Tokyo or Taiwan.
[query_database(**{'query': 'SELECT sum(revenue) FROM manufacturers WHERE Headquarter = 'Tokyo' OR Headquarter = 'Taiwan''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,297
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question What are the names, headquarters and founders of the company with the highest revenue?
[query_database(**{'query': 'SELECT name , headquarter , founder FROM manufacturers ORDER BY revenue 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 Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,301
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question What are the names of manufacturers with revenue greater than the average of all revenues?
[query_database(**{'query': 'SELECT name FROM manufacturers WHERE revenue > (SELECT avg(revenue) FROM manufacturers)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,305
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question What is the total revenue of companies with revenue greater than the lowest revenue of any manufacturer in Austin?
[query_database(**{'query': 'SELECT sum(revenue) FROM manufacturers WHERE revenue > (SELECT min(revenue) FROM manufacturers WHERE headquarter = 'Austin')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,309
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question What are the names and revenues of the companies with the highest revenues in each headquarter city?
[query_database(**{'query': 'SELECT name , max(revenue) , Headquarter FROM manufacturers GROUP BY Headquarter'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,313
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question What are the average prices of products for each manufacturer?
[query_database(**{'query': 'SELECT avg(T1.price) , T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question Find number of products which Sony does not make.
[query_database(**{'query': 'SELECT count(DISTINCT name) FROM products WHERE name NOT IN (SELECT T1.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code WHERE T2.name = 'Sony')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,321
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question How many products are there for each manufacturer?
[query_database(**{'query': 'SELECT count(*) , T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,325
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question What are the names and prices of all products in the store?
[query_database(**{'query': 'SELECT name , price FROM products'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,329
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question What is all the information of all the products that have a price between 60 and 120?
[query_database(**{'query': 'SELECT * FROM products WHERE price BETWEEN 60 AND 120'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,333
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question What is the average price of products with manufacturer codes equal to 2?
[query_database(**{'query': 'SELECT avg(price) FROM products WHERE Manufacturer = 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 Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,336
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question Select the name and price of all products with a price larger than or equal to $180, and sort first by price (in descending order), and then by name (in ascending order).
[query_database(**{'query': 'SELECT name , price FROM products WHERE price >= 180 ORDER BY price DESC , name ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,341
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question What are the average prices of products, grouped by manufacturer code?
[query_database(**{'query': 'SELECT AVG(Price) , Manufacturer FROM Products GROUP BY Manufacturer'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,345
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question What are the names and average prices of products for manufacturers whose products cost on average 150 or more?
[query_database(**{'query': 'SELECT avg(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name HAVING avg(T1.price) >= 150'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,349
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */ ### Question For each manufacturer name, what are the names and prices of their most expensive product?
[query_database(**{'query': 'SELECT T1.Name , max(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255) NOT NULL, Headquarter VARCHAR(255) NOT NULL, Founder VARCHAR(255) NOT NULL, Revenue REAL, PRIMARY KEY (Code) ) /* 1 example row: SELECT * FROM manufacturers LIMIT 1; Code ||Name ||Headquarter ||Founder ||Revenue 1 ||Sony || Tokyo || Andy || 120.0 */ CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255) NOT NULL , Price DECIMAL NOT NULL , Manufacturer INTEGER NOT NULL, PRIMARY KEY (Code), FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code) ) /* 1 example row: SELECT * FROM products LIMIT 1; Code || Name ||Price ||Manufacturer 1 ||Hard drive || 240 || 5 */
5,353
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */ ### Question Which problem log was created most recently? Give me the log id.
[query_database(**{'query': 'SELECT problem_log_id FROM problem_log ORDER BY log_entry_date DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */ ### Question For the problem with id 10, return the ids and dates of its problem logs.
[query_database(**{'query': 'SELECT problem_log_id , log_entry_date FROM problem_log WHERE problem_id = 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 `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */
5,361
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */ ### Question Which staff members are assigned to the problem with id 1? Give me their first and last names.
[query_database(**{'query': 'SELECT DISTINCT staff_first_name , staff_last_name FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T2.problem_id = 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */
5,365
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */ ### Question How many problems did the product called "voluptatem" have in record?
[query_database(**{'query': 'SELECT count(*) FROM product AS T1 JOIN problems AS T2 ON T1.product_id = T2.product_id WHERE T1.product_name = "voluptatem"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */
5,369
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */ ### Question Which problems are reported by the staff with first name "Christop"? Show the descriptions of the problems.
[query_database(**{'query': 'SELECT T1.problem_description FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */ ### Question Find the ids of the problems reported after 1978-06-26.
[query_database(**{'query': 'SELECT problem_id FROM problems WHERE date_problem_reported > "1978-06-26"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */ ### Question For each product with some problems, list the count of problems and the product id.
[query_database(**{'query': 'SELECT count(*) , T2.product_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */ ### Question Sort all the distinct product names in alphabetical order.
[query_database(**{'query': 'SELECT DISTINCT product_name FROM product ORDER BY product_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 `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */
5,385
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */ ### Question Which problems were reported by the staff named Dameon Frami or Jolie Weber? Give me the ids of the problems.
[query_database(**{'query': 'SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Dameon" AND T2.staff_last_name = "Frami" UNION SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Jolie" AND T2.staff_last_name = "Weber"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */
5,389
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */ ### Question Which problems were reported before the date of any problem reported by the staff Lysanne Turcotte? Give me the ids of the problems.
[query_database(**{'query': 'SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported < ( SELECT min(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Lysanne" AND T4.staff_last_name = "Turcotte" )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */
5,393
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */ ### Question What are the three products that have the most problems?s
[query_database(**{'query': 'SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name 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 `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */
5,397
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */ ### Question Which staff members who reported problems from the product "rem" but not "aut"? Give me their first and last names.
[query_database(**{'query': 'SELECT T3.staff_first_name , T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T2.product_name = "rem" EXCEPT SELECT T3.staff_first_name , T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T2.product_name = "aut"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Problem_Category_Codes` ( `problem_category_code` VARCHAR(20) PRIMARY KEY, `problem_category_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_category_codes LIMIT 1; problem_category_code ||problem_category_description Datatabase ||Database design or contents. */ CREATE TABLE `Problem_Log` ( `problem_log_id` INTEGER PRIMARY KEY, `assigned_to_staff_id` INTEGER NOT NULL, `problem_id` INTEGER NOT NULL, `problem_category_code` VARCHAR(20) NOT NULL, `problem_status_code` VARCHAR(20) NOT NULL, `log_entry_date` DATETIME, `log_entry_description` VARCHAR(255), `log_entry_fix` VARCHAR(255), `other_log_details` VARCHAR(255), FOREIGN KEY (`problem_category_code` ) REFERENCES `Problem_Category_Codes`(`problem_category_code` ),FOREIGN KEY (`assigned_to_staff_id` ) REFERENCES `Staff`(`staff_id` ),FOREIGN KEY (`problem_id` ) REFERENCES `Problems`(`problem_id` ),FOREIGN KEY (`problem_status_code` ) REFERENCES `Problem_Status_Codes`(`problem_status_code` ) ) /* 1 example row: SELECT * FROM problem_log LIMIT 1; problem_log_id ||assigned_to_staff_id ||problem_id ||problem_category_code ||problem_status_code || log_entry_date ||log_entry_description ||log_entry_fix ||other_log_details 1 || 11 || 11 || Middleware || Solved ||2011-03-13 13:11:57 || t || k || p */ CREATE TABLE `Problem_Status_Codes` ( `problem_status_code` VARCHAR(20) PRIMARY KEY, `problem_status_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM problem_status_codes LIMIT 1; problem_status_code ||problem_status_description Reported || Reported */ CREATE TABLE `Product` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id ||product_name ||product_details 1 || rose || k */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_first_name` VARCHAR(80), `staff_last_name` VARCHAR(80), `other_staff_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_first_name ||staff_last_name ||other_staff_details 1 || Lacey || Bosco || m */ CREATE TABLE `Problems` ( `problem_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `closure_authorised_by_staff_id` INTEGER NOT NULL, `reported_by_staff_id` INTEGER NOT NULL, `date_problem_reported` DATETIME NOT NULL, `date_problem_closed` DATETIME, `problem_description` VARCHAR(255), `other_problem_details` VARCHAR(255), FOREIGN KEY (`closure_authorised_by_staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Product`(`product_id` ), FOREIGN KEY (`reported_by_staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM problems LIMIT 1; problem_id ||product_id ||closure_authorised_by_staff_id ||reported_by_staff_id ||date_problem_reported ||date_problem_closed ||problem_description ||other_problem_details 1 || 4 || 4 || 2 || 1978-06-26 19:10:17 ||2012-07-22 19:24:26 || x || p */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question What is the number of branches that have more than the average number of memberships?
[query_database(**{'query': 'SELECT count(*) FROM branch WHERE membership_amount > (SELECT avg(membership_amount) FROM branch)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question What are names for top three branches with most number of membership?
[query_database(**{'query': 'SELECT name FROM branch ORDER BY membership_amount 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 "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question What are the opening years in which at least two shops opened?
[query_database(**{'query': 'SELECT open_year FROM branch GROUP BY open_year 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 "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question For each city, how many branches opened before 2010?
[query_database(**{'query': 'SELECT city , count(*) FROM branch WHERE open_year < 2010 GROUP BY city'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question What are the card numbers, names, and hometowns of every member ordered by descending level?
[query_database(**{'query': 'SELECT card_number , name , hometown FROM member ORDER BY LEVEL 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 "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question What are the names of the members and branches at which they are registered sorted by year of registration?
[query_database(**{'query': 'SELECT T3.name , T2.name FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id JOIN member AS T3 ON T1.member_id = T3.member_id ORDER BY T1.register_year'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question What are the names of the members that have never registered at any branch?
[query_database(**{'query': 'SELECT name FROM member WHERE member_id NOT IN (SELECT member_id FROM membership_register_branch)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
5,429
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question What is the name and opening year for the branch that registered the most members in 2016?
[query_database(**{'query': 'SELECT T2.name , T2.open_year FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id WHERE T1.register_year = 2016 GROUP BY T2.branch_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 "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question What are the cities that have a branch that opened in 2001 and a branch with more than 100 members?
[query_database(**{'query': 'SELECT city FROM branch WHERE open_year = 2001 AND membership_amount > 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question How many total pounds were purchased in the year 2018 at all London branches?
[query_database(**{'query': 'SELECT sum(total_pounds) FROM purchase AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id WHERE T2.city = 'London' AND T1.year = 2018'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
5,441
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question What are the names of the branches that have some members with a hometown in Louisville, Kentucky and also those from Hiram, Goergia?
[query_database(**{'query': 'SELECT T2.name FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id JOIN member AS T3 ON T1.member_id = T3.member_id WHERE T3.Hometown = 'Louisville , Kentucky' INTERSECT SELECT T2.name FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id JOIN member AS T3 ON T1.member_id = T3.member_id WHERE T3.Hometown = 'Hiram , Georgia''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question How many students are there in total?
[query_database(**{'query': 'SELECT count(*) FROM STUDENT'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,449
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question How many distinct president votes are recorded?
[query_database(**{'query': 'SELECT count(DISTINCT President_Vote) FROM VOTING_RECORD'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the last names of students studying major 50?
[query_database(**{'query': 'SELECT LName FROM STUDENT WHERE Major = 50'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,456
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the majors of male (sex is M) students?
[query_database(**{'query': 'SELECT Major FROM STUDENT WHERE Sex = "M"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the maximum and minimum age of students with major 600?
[query_database(**{'query': 'SELECT max(Age) , min(Age) FROM STUDENT WHERE Major = 600'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Return all the distinct secretary votes made in the fall election cycle.
[query_database(**{'query': 'SELECT DISTINCT Secretary_Vote FROM VOTING_RECORD WHERE ELECTION_CYCLE = "Fall"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the distinct registration dates and the election cycles?
[query_database(**{'query': 'SELECT DISTINCT Registration_Date , Election_Cycle FROM VOTING_RECORD'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,473
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the distinct last names of the students who have class president votes?
[query_database(**{'query': 'SELECT DISTINCT T1.LName FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.CLASS_President_VOTE'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,477
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the distinct ages of students who have secretary votes in the fall election cycle?
[query_database(**{'query': 'SELECT DISTINCT T1.Age FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.Secretary_Vote WHERE T2.Election_Cycle = "Fall"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,481
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the distinct majors that students with treasurer votes are studying?
[query_database(**{'query': 'SELECT DISTINCT T1.Major FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.Treasurer_Vote'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,485
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the first names and last names of the students who are 18 years old and have vice president votes.
[query_database(**{'query': 'SELECT DISTINCT T1.Fname , T1.LName FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.VICE_President_VOTE WHERE T1.age = 18'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,489
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Which students live in the city with code "NYC" and have class senator votes in the spring election cycle? Count the numbers.
[query_database(**{'query': 'SELECT count(*) FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = Class_Senator_Vote WHERE T1.city_code = "NYC" AND T2.Election_Cycle = "Spring"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,493
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What is the average age of the female students with secretary votes in the spring election cycle?
[query_database(**{'query': 'SELECT avg(T1.Age) FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = SECRETARY_Vote WHERE T1.Sex = "F" AND T2.Election_Cycle = "Spring"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,497
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the distinct last names of the students who have president votes but do not have 2192 as the advisor?
[query_database(**{'query': 'SELECT DISTINCT T1.LName FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = PRESIDENT_Vote EXCEPT SELECT DISTINCT LName FROM STUDENT WHERE Advisor = "2192"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,501
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question How many students does each advisor have?
[query_database(**{'query': 'SELECT Advisor , count(*) FROM STUDENT GROUP BY Advisor'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,504
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Report all majors that have less than 3 students.
[query_database(**{'query': 'SELECT Major FROM STUDENT GROUP BY Major 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,508
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Which major has the most students?
[query_database(**{'query': 'SELECT Major FROM STUDENT GROUP BY major 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,512
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What is the city_code of the city that the most students live in?
[query_database(**{'query': 'SELECT city_code FROM STUDENT GROUP BY city_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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,516
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question How many products are there?
[query_database(**{'query': 'SELECT count(*) FROM products'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,520
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question How many characteristics are there?
[query_database(**{'query': 'SELECT count(*) FROM CHARACTERISTICS'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,524
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question List the description of all the colors.
[query_database(**{'query': 'SELECT color_description FROM ref_colors'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the names of products with category "Spices"?
[query_database(**{'query': 'SELECT product_name FROM products WHERE product_category_code = "Spices"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,532
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question How many products are there under the category "Seeds"?
[query_database(**{'query': 'SELECT count(*) FROM products WHERE product_category_code = "Seeds"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What is the category and typical buying price of the product with name "cumin"?
[query_database(**{'query': 'SELECT product_category_code , typical_buying_price FROM products WHERE product_name = "cumin"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Give the name of the products that have a color description 'yellow'.
[query_database(**{'query': 'SELECT T1.product_name FROM products AS T1 JOIN ref_colors AS T2 ON T1.color_code = T2.color_code WHERE T2.color_description = 'yellow''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What is the color description of the product with name "catnip"?
[query_database(**{'query': 'SELECT t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code WHERE t1.product_name = "catnip"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Find the id and color description of the products with at least 2 characteristics.
[query_database(**{'query': 'SELECT t1.product_id , t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code JOIN product_characteristics AS t3 ON t1.product_id = t3.product_id GROUP BY t1.product_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 `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Return the names and typical buying and selling prices for products that have 'yellow' as their color description.
[query_database(**{'query': 'SELECT t1.product_name , t1.typical_buying_price , t1.typical_selling_price FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code WHERE t2.color_description = "yellow"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Count the number of different characteristic names the product 'cumin' has.
[query_database(**{'query': 'SELECT count(DISTINCT t3.characteristic_name) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "sesame"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the names and data types of the characteristics of the 'cumin' product?
[query_database(**{'query': 'SELECT t3.characteristic_name , t3.characteristic_data_type FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "cumin"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Count the number of characteristics of the product named 'laurel'.
[query_database(**{'query': 'SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "laurel"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the names of the products that have a color description of 'red' and the 'fast' characteristic?
[query_database(**{'query': 'SELECT product_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id JOIN ref_colors AS t4 ON t1.color_code = t4.color_code WHERE t4.color_description = "red" AND t3.characteristic_name = "fast"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the different product names for products that have the 'warm' characteristic:?
[query_database(**{'query': 'SELECT DISTINCT t1.product_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t3.characteristic_name = "warm"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question How many products have their color described as 'white' or have a characteristic with the name 'hot'?
[query_database(**{'query': 'SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id JOIN ref_colors AS t4 ON t1.color_code = t4.color_code WHERE t4.color_description = "white" OR t3.characteristic_name = "hot"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What is the description of the product category with the code 'Spices'?
[query_database(**{'query': 'SELECT product_category_description FROM ref_product_categories WHERE product_category_code = "Spices"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Give the unit of measure for the product with the name 'cumin'.
[query_database(**{'query': 'SELECT t2.unit_of_measure FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code WHERE t1.product_name = "cumin"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the names of products that are not 'white' in color and are not measured by the unit 'Handful'?
[query_database(**{'query': 'SELECT t1.product_name FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code JOIN ref_colors AS t3 ON t1.color_code = t3.color_code WHERE t3.color_description = "white" AND t2.unit_of_measure != "Handful"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Give the color description that is least common across products.
[query_database(**{'query': 'SELECT t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code GROUP BY t2.color_description ORDER BY count(*) 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 `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,597
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Give the names, details, and data types of characteristics that are not found in any product.
[query_database(**{'query': 'SELECT characteristic_name , other_characteristic_details , characteristic_data_type FROM CHARACTERISTICS EXCEPT SELECT t1.characteristic_name , t1.other_characteristic_details , t1.characteristic_data_type FROM CHARACTERISTICS AS t1 JOIN product_characteristics AS t2 ON t1.characteristic_id = t2.characteristic_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 `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Count the number of colors that are not used in any products.
[query_database(**{'query': 'SELECT count(*) FROM Ref_colors WHERE color_code NOT IN ( SELECT color_code FROM products )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,605
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question How many stadiums are there?
[query_database(**{'query': 'SELECT count(*) FROM stadium'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Find the country that has the most stadiums.
[query_database(**{'query': 'SELECT country FROM stadium GROUP BY country 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Which countries do not have a stadium that was opened after 2006?
[query_database(**{'query': 'SELECT country FROM stadium EXCEPT SELECT country FROM stadium WHERE opening_year > 2006'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question List countries that have more than one swimmer.
[query_database(**{'query': 'SELECT nationality , count(*) FROM swimmer GROUP BY nationality HAVING count(*) > 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Find the name and capacity of the stadium where the event named "World Junior" happened.
[query_database(**{'query': 'SELECT t1.name , t1.capacity FROM stadium AS t1 JOIN event AS t2 ON t1.id = t2.stadium_id WHERE t2.name = 'World Junior''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Find the name and nationality of the swimmer who has won (i.e., has a result of "win") more than 1 time.
[query_database(**{'query': 'SELECT t1.name , t1.nationality FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Win' GROUP BY t2.swimmer_id HAVING count(*) > 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Find the names of stadiums that the most swimmers have been to.
[query_database(**{'query': 'SELECT t3.name FROM record AS t1 JOIN event AS t2 ON t1.event_id = t2.id JOIN stadium AS t3 ON t3.id = t2.stadium_id GROUP BY t2.stadium_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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 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 "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question List the builders of railways in ascending alphabetical order.
[query_database(**{'query': 'SELECT Builder FROM railway ORDER BY Builder 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 "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question What are the names of managers in ascending order of level?
[query_database(**{'query': 'SELECT Name FROM manager ORDER BY LEVEL 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 "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
5,641
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question Show the builder of railways associated with the trains named "Andaman Exp".
[query_database(**{'query': 'SELECT T1.Builder FROM railway AS T1 JOIN train AS T2 ON T1.Railway_ID = T2.Railway_ID WHERE T2.Name = "Andaman Exp"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question Show the most common builder of railways.
[query_database(**{'query': 'SELECT Builder FROM railway GROUP BY Builder 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 "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
5,649
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question Show the countries that have both managers of age above 50 and managers of age below 46.
[query_database(**{'query': 'SELECT Country FROM manager WHERE Age > 50 INTERSECT SELECT Country FROM manager WHERE Age < 46'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */ ### Question How many addresses are there in country USA?
[query_database(**{'query': 'SELECT count(*) FROM addresses WHERE country = 'USA''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */