Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 names of the songs that do not have back vocals?
[query_database(**{'query': 'SELECT DISTINCT title FROM vocals AS t1 JOIN songs AS t2 ON t1.songid = t2.songid EXCEPT SELECT t2.title FROM vocals AS t1 JOIN songs AS t2 ON t1.songid = t2.songid WHERE TYPE = "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 */
5,269
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of all the songs whose album is under the label of "Universal Music Group"?
[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.label = "Universal Music Group"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,273
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 founder of Sony.
[query_database(**{'query': 'SELECT founder FROM manufacturers WHERE 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 */
5,276
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all manufacturers' names and their headquarters, sorted by the ones with highest revenue first.
[query_database(**{'query': 'SELECT name , headquarter FROM manufacturers ORDER BY revenue 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 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 number of companies created by Andy.
[query_database(**{'query': 'SELECT count(*) FROM manufacturers WHERE founder = 'Andy''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,285
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Give the distinct headquarters of manufacturers.
[query_database(**{'query': 'SELECT DISTINCT headquarter 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 */
5,288
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the founder of the company whose name begins with the letter '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 */
5,291
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 companies with revenue between 100 and 150?
[query_database(**{'query': 'SELECT name FROM manufacturers WHERE revenue BETWEEN 100 AND 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 */
5,295
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 products produced by both Creative Labs and Sony?
[query_database(**{'query': 'SELECT T1.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code WHERE T2.name = 'Creative Labs' INTERSECT 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 */
5,300
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the name of companies whose revenue is greater than the average revenue of all companies.
[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 */
5,304
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the total revenue of companies whose revenue is larger than the revenue of some companies based 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 */
5,308
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the name and revenue of the company that earns the highest revenue in each 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 */
5,312
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the average prices of all products from each manufacture, and list each company's name.
[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 */
5,317
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 not made by Sony?
[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 */
5,320
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the number of products for each manufacturer, showing the name of each company.
[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 */
5,324
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names and the prices of all the 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 */
5,328
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all information of all the products with 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 */
5,332
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Compute the average price of all products with manufacturer code 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 */
5,337
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 products that cost at least 180, sorted by price decreasing and name ascending?
[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 */
5,340
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 average price of each manufacturer's products, showing only the manufacturer's 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 */
5,344
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of manufacturer whose products have an average price higher than or equal to $150.
[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 */
5,347
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name and price of the cheapest product?
[query_database(**{'query': 'SELECT name , price FROM Products ORDER BY price 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 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 */
5,351
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 codes and names of the cheapest products in each category?
[query_database(**{'query': 'SELECT code , name , min(price) FROM products GROUP BY 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 */
5,355
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 oldest log id and its corresponding problem id.
[query_database(**{'query': 'SELECT problem_log_id , problem_id FROM problem_log ORDER BY log_entry_date 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 What are the log id and entry description of each problem?
[query_database(**{'query': 'SELECT problem_log_id , log_entry_description FROM problem_log'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,362
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the problem id and log id which are assigned to the staff named Rylan Homenick.
[query_database(**{'query': 'SELECT DISTINCT T2.problem_id , T2.problem_log_id FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T1.staff_first_name = "Rylan" AND T1.staff_last_name = "Homenick"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many problems does the product with the most problems have? List the number of the problems and product name.
[query_database(**{'query': 'SELECT count(*) , T1.product_name FROM product AS T1 JOIN problems AS T2 ON T1.product_id = T2.product_id GROUP BY T1.product_name ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 that are reported by the staff whose last name is Bosco.
[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 T2.staff_last_name = "Bosco"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What are the ids of the problems which are reported before 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 */
5,378
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 that has problems, find the number of problems reported after 1986-11-13 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 WHERE T1.date_problem_reported > "1986-11-13" 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 List all the distinct product names ordered by product id?
[query_database(**{'query': 'SELECT DISTINCT product_name FROM product ORDER BY 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 */
5,386
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 product ids for the problems reported by Christop Berge with closure authorised by Ashley Medhurst?
[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 = "Christop" AND T2.staff_last_name = "Berge" INTERSECT SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.closure_authorised_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Ashley" AND T2.staff_last_name = "Medhurst"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,390
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 ids of the problems reported after the date of any problems reported by Rylan Homenick?
[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 max(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 = "Rylan" AND T4.staff_last_name = "Homenick" )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,394
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the ids of the problems from the product "voluptatem" that are reported after 1995?
[query_database(**{'query': 'SELECT T1.problem_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id WHERE T2.product_name = "voluptatem" AND T1.date_problem_reported > "1995"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,398
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 products which have problems reported by both Lacey Bosco and Kenton Champlin?
[query_database(**{'query': 'SELECT T2.product_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 T3.staff_first_name = "Lacey" AND T3.staff_last_name = "Bosco" INTERSECT SELECT T2.product_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 T3.staff_first_name = "Kenton" AND T3.staff_last_name = "Champlin"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show name, address road, and city for all branches sorted by open year.
[query_database(**{'query': 'SELECT name , address_road , city FROM branch ORDER BY open_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 Show all distinct city where branches with at least 100 memberships are located.
[query_database(**{'query': 'SELECT DISTINCT city FROM branch WHERE 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 Show minimum and maximum amount of memberships for all branches opened in 2011 or located at city London.
[query_database(**{'query': 'SELECT min(membership_amount) , max(membership_amount) FROM branch WHERE open_year = 2011 OR city = 'London''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
5,414
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 different levels do members have?
[query_database(**{'query': 'SELECT count(DISTINCT LEVEL) FROM member'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,418
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the membership level with most number of members.
[query_database(**{'query': 'SELECT LEVEL FROM member GROUP BY LEVEL 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 Show all branch names with the number of members in each branch registered after 2015.
[query_database(**{'query': 'SELECT T2.name , count(*) FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id WHERE T1.register_year > 2015 GROUP BY T2.branch_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 "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 List the branch name and city without any registered members.
[query_database(**{'query': 'SELECT name , city FROM branch WHERE branch_id NOT IN (SELECT branch_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 */
5,430
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the member name and hometown who registered a branch in 2016.
[query_database(**{'query': 'SELECT T2.name , T2.hometown FROM membership_register_branch AS T1 JOIN member AS T2 ON T1.member_id = T2.member_id WHERE T1.register_year = 2016'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show all cities without a branch having more than 100 memberships.
[query_database(**{'query': 'SELECT city FROM branch EXCEPT SELECT city FROM branch WHERE 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 */
5,438
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 total number of purchases for members with level 6?
[query_database(**{'query': 'SELECT count(*) FROM purchase AS T1 JOIN member AS T2 ON T1.member_id = T2.member_id WHERE T2.level = 6'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,442
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 list the card number of all members whose hometown address includes word "Kentucky".
[query_database(**{'query': 'SELECT card_number FROM member WHERE Hometown LIKE "%Kentucky%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,446
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Find the number of voting records in total.
[query_database(**{'query': 'SELECT count(*) 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 */
5,450
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Find the maximum age of all the students.
[query_database(**{'query': 'SELECT max(Age) 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 */
5,454
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Find the first names of students with age above 22.
[query_database(**{'query': 'SELECT Fname FROM STUDENT WHERE Age > 22'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,458
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 female (sex is F) students?
[query_database(**{'query': 'SELECT avg(Age) FROM STUDENT WHERE Sex = "F"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
5,462
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Who are the advisors for students that live in a city with city code "BAL"?
[query_database(**{'query': 'SELECT Advisor FROM STUDENT WHERE city_code = "BAL"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,466
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 president votes on 08/30/2015?
[query_database(**{'query': 'SELECT DISTINCT PRESIDENT_Vote FROM VOTING_RECORD WHERE Registration_Date = "08/30/2015"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,470
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the distinct president vote and the vice president vote.
[query_database(**{'query': 'SELECT DISTINCT President_Vote , VICE_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 */
5,474
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Find the distinct first names of the students who have class senator votes.
[query_database(**{'query': 'SELECT DISTINCT T1.Fname FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.CLASS_Senator_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 */
5,478
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Find the distinct Advisor of students who have treasurer votes in the spring election cycle.
[query_database(**{'query': 'SELECT DISTINCT T1.Advisor FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.Treasurer_Vote WHERE 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 */
5,482
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Find the first and last names of all the female (sex is F) students who have president votes.
[query_database(**{'query': 'SELECT DISTINCT T1.Fname , T1.LName FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.President_VOTE WHERE T1.sex = "F"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
5,486
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 male (sex is M) students have class senator votes in the fall election cycle?
[query_database(**{'query': 'SELECT count(*) FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = Class_Senator_Vote WHERE T1.Sex = "M" AND 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 */
5,491
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 students who have city code "NYC" and have secretary votes for 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.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 */
5,495
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 first names of the students who have vice president votes and reside in a city whose city code is not PIT?
[query_database(**{'query': 'SELECT DISTINCT T1.Fname FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.VICE_PRESIDENT_Vote EXCEPT SELECT DISTINCT Fname FROM STUDENT WHERE city_code = "PIT"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 last names of the students who have president votes and have 8741 as the advisor?
[query_database(**{'query': 'SELECT DISTINCT T1.LName FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = PRESIDENT_Vote INTERSECT SELECT DISTINCT LName FROM STUDENT WHERE Advisor = "8741"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,502
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 advisors that advise more than 2 students.
[query_database(**{'query': 'SELECT Advisor FROM STUDENT GROUP BY Advisor 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 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 */
5,506
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 For each election cycle, report the number of voting records.
[query_database(**{'query': 'SELECT Election_Cycle , count(*) FROM VOTING_RECORD GROUP BY Election_Cycle'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,510
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 most common major among female (sex is F) students?
[query_database(**{'query': 'SELECT Major FROM STUDENT WHERE Sex = "F" 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 */
5,514
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the distinct advisors who have more than 2 students.
[query_database(**{'query': 'SELECT Advisor FROM STUDENT GROUP BY Advisor 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 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 `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 colors are there?
[query_database(**{'query': 'SELECT count(*) 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 and buying prices of all the products?
[query_database(**{'query': 'SELECT product_name , typical_buying_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 `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 names of all the product characteristics.
[query_database(**{'query': 'SELECT DISTINCT characteristic_name 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 */
5,530
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names, color descriptions and product descriptions of products with category "Herbs".
[query_database(**{'query': 'SELECT T1.product_name , T2.color_description , T1.product_description FROM products AS T1 JOIN Ref_colors AS T2 ON T1.color_code = T2.color_code WHERE product_category_code = "Herbs"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,534
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 number of products with category "Spices" and typically sold above 1000.
[query_database(**{'query': 'SELECT count(*) FROM products WHERE product_category_code = "Spices" AND typical_buying_price > 1000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 Which category does the product named "flax" belong to?
[query_database(**{'query': 'SELECT product_category_code FROM products WHERE product_name = "flax"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 category descriptions of the products whose descriptions include letter 't'.
[query_database(**{'query': 'SELECT T1.product_category_description FROM ref_product_categories AS T1 JOIN products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 */
5,546
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 code and description of the product named "chervil"?
[query_database(**{'query': 'SELECT t1.color_code , t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code WHERE t1.product_name = "chervil"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,550
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the product names with the color description "white".
[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 = "white"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,554
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 does the product named "sesame" have?
[query_database(**{'query': 'SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_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 all the characteristic names of product "sesame"?
[query_database(**{'query': 'SELECT 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 List all characteristics of product named "sesame" with type code "Grade".
[query_database(**{'query': 'SELECT 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" AND t3.characteristic_type_code = "Grade"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 number of characteristics that the product "flax" has.
[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 = "flax"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,570
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the characteristic named "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 WHERE 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 Find the number of the products that have their color described as "red" and have a characteristic named "slow".
[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 = "red" AND t3.characteristic_name = "slow"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,578
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 unit of measuerment of the product category code "Herbs"?
[query_database(**{'query': 'SELECT unit_of_measure FROM ref_product_categories WHERE product_category_code = "Herbs"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 product category description and unit of measurement of category "Herbs"?
[query_database(**{'query': 'SELECT product_category_description , unit_of_measure FROM ref_product_categories WHERE product_category_code = "Herbs"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 unit of measurement and product category code of product named "chervil".
[query_database(**{'query': 'SELECT t2.unit_of_measure , t2.product_category_code FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code WHERE t1.product_name = "chervil"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 color for most 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(*) 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 `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 */
5,594
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 characteristic name used by most number of the products?
[query_database(**{'query': 'SELECT 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 GROUP BY t3.characteristic_name ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 */
5,598
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 characteristic names used at least twice across all products?
[query_database(**{'query': 'SELECT 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 GROUP BY t3.characteristic_name 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 */
5,602
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 events are there?
[query_database(**{'query': 'SELECT count(*) FROM event'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 whose capacity is smaller than the average capacity.
[query_database(**{'query': 'SELECT name FROM stadium WHERE capacity < (SELECT avg(capacity) 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 How many cities have a stadium that was opened before the year of 2006?
[query_database(**{'query': 'SELECT count(DISTINCT city) 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 */
5,614
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 not in country "Russia"?
[query_database(**{'query': 'SELECT count(*) FROM stadium WHERE country != 'Russia''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all 200 meter and 300 meter results of swimmers with nationality "Australia".
[query_database(**{'query': 'SELECT meter_200 , meter_300 FROM swimmer WHERE nationality = 'Australia''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 which have never had any event.
[query_database(**{'query': 'SELECT name FROM stadium WHERE id NOT IN (SELECT stadium_id FROM event)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,626
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the swimmers who have no record.
[query_database(**{'query': 'SELECT name FROM swimmer WHERE id NOT IN (SELECT swimmer_id FROM 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 "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 all details for each swimmer.
[query_database(**{'query': 'SELECT * FROM swimmer'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 wheels and locations of the railways.
[query_database(**{'query': 'SELECT Wheels , LOCATION FROM railway'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and arrival times of trains?
[query_database(**{'query': 'SELECT Name , Arrival FROM train'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,642
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 id and location of railways that are associated with more than one train.
[query_database(**{'query': 'SELECT T2.Railway_ID , T1.Location FROM railway AS T1 JOIN train AS T2 ON T1.Railway_ID = T2.Railway_ID GROUP BY T2.Railway_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 "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 different locations of railways along with the corresponding number of railways at each location.
[query_database(**{'query': 'SELECT LOCATION , COUNT(*) FROM railway GROUP BY LOCATION'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 distinct countries of managers.
[query_database(**{'query': 'SELECT DISTINCT Country FROM manager'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show all distinct cities in the address record.
[query_database(**{'query': 'SELECT DISTINCT city FROM addresses'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
5,658
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the product type codes which have at least two products.
[query_database(**{'query': 'SELECT product_type_code FROM products GROUP BY product_type_code 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 `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 */