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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1
*/
### Question
Take the average of the school enrollment.
| [query_database(**{'query': 'SELECT avg(Enrollment) FROM school'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1
*/
### Question
Count the number of distinct player positions.
| [query_database(**{'query': 'SELECT count(DISTINCT POSITION) FROM player'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1
*/
### Question
What are the teams that have the 5 oldest players?
| [query_database(**{'query': 'SELECT Team FROM player ORDER BY Age DESC LIMIT 5'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1
*/
### Question
Which schools have more than 1 player? Give me the school locations.
| [query_database(**{'query': 'SELECT T2.Location FROM player AS T1 JOIN school AS T2 ON T1.School_ID = T2.School_ID GROUP BY T1.School_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 "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1
*/
### Question
What are the location and nickname of each school?
| [query_database(**{'query': 'SELECT T1.Location , T2.Nickname FROM school AS T1 JOIN school_details AS T2 ON T1.School_ID = T2.School_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 "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1
*/
### Question
Order denominations in descending order of the count of schools with the denomination. Return each denomination with the count of schools.
| [query_database(**{'query': 'SELECT Denomination , COUNT(*) FROM school GROUP BY Denomination ORDER BY COUNT(*) DESC'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1
*/
### Question
Which schools do not have any player? Give me the school locations.
| [query_database(**{'query': 'SELECT LOCATION FROM school WHERE School_ID NOT IN (SELECT School_ID FROM Player)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1
*/
### Question
What are the nicknames of schools whose division is not 1?
| [query_database(**{'query': 'SELECT Nickname FROM school_details WHERE Division != "Division 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 "school" (
"School_ID" int,
"School" text,
"Location" text,
"Enrollment" real,
"Founded" real,
"Denomination" text,
"Boys_or_Girls" text,
"Day_or_Boarding" text,
"Year_Entered_Competition" real,
"School_Colors" text,
PRIMARY KEY ("School_Id")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors
1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold
*/
CREATE TABLE "school_details" (
"School_ID" int,
"Nickname" text,
"Colors" text,
"League" text,
"Class" text,
"Division" text,
PRIMARY KEY ("School_Id"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_details LIMIT 1;
School_ID ||Nickname || Colors ||League || Class || Division
1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1
*/
CREATE TABLE "school_performance" (
"School_Id" int,
"School_Year" text,
"Class_A" text,
"Class_AA" text,
PRIMARY KEY ("School_Id","School_Year"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM school_performance LIMIT 1;
School_Id ||School_Year ||Class_A ||Class_AA
1 || 1987-88 || Yantis || Blanco
*/
CREATE TABLE "player" (
"Player_ID" int,
"Player" text,
"Team" text,
"Age" int,
"Position" text,
"School_ID" int,
PRIMARY KEY ("Player_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
Player_ID || Player || Team ||Age || Position ||School_ID
1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
### Question
What are the different district names in order of descending city area?
| [query_database(**{'query': 'SELECT DISTINCT District_name FROM district ORDER BY city_area 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 "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
### Question
Find the name and population of district with population between 200000 and 2000000
| [query_database(**{'query': 'SELECT District_name , City_Population FROM district WHERE City_Population BETWEEN 200000 AND 2000000'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
### Question
Which district has the largest population?
| [query_database(**{'query': 'SELECT district_name FROM district ORDER BY city_population 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 "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
### Question
Find the total population of the top 3 districts with the largest area.
| [query_database(**{'query': 'SELECT sum(city_population) FROM district ORDER BY city_area DESC LIMIT 3'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
### Question
Find the names of all stores in Khanewal District.
| [query_database(**{'query': 'SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t3.district_name = "Khanewal District"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
### Question
Which city is the headquarter of the store named "Blackville" in?
| [query_database(**{'query': 'SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.store_name = "Blackville"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
### Question
Find the number of stores in each city.
| [query_database(**{'query': 'SELECT t3.headquartered_city , count(*) FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
### Question
What is the average pages per minute color?
| [query_database(**{'query': 'SELECT avg(pages_per_minute_color) FROM product'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
### Question
What are the products with the maximum page size A4 that also have a pages per minute color smaller than 5?
| [query_database(**{'query': 'SELECT product FROM product WHERE max_page_size = "A4" AND pages_per_minute_color < 5'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
### Question
What are all of the products whose name includes the substring "Scanner"?
| [query_database(**{'query': 'SELECT product FROM product WHERE product LIKE "%Scanner%"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
### Question
What are the names of all products that are not the most frequently-used maximum page size?
| [query_database(**{'query': 'SELECT product FROM product WHERE product != (SELECT max_page_size FROM product GROUP BY max_page_size 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 "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
### Question
What are the names of the districts that have both mall and village store style shops?
| [query_database(**{'query': 'SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "City Mall" INTERSECT SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "Village Store"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "product" (
"product_id" int,
"product" text,
"dimensions" text,
"dpi" real,
"pages_per_minute_color" real,
"max_page_size" text,
"interface" text,
PRIMARY KEY ("product_id")
)
/*
1 example row:
SELECT * FROM product LIMIT 1;
product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface
1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0
*/
CREATE TABLE "store" (
"Store_ID" int,
"Store_Name" text,
"Type" text,
"Area_size" real,
"Number_of_product_category" real,
"Ranking" int,
PRIMARY KEY ("Store_ID")
)
/*
1 example row:
SELECT * FROM store LIMIT 1;
Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking
1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2
*/
CREATE TABLE "district" (
"District_ID" int,
"District_name" text,
"Headquartered_City" text,
"City_Population" real,
"City_Area" real,
PRIMARY KEY ("District_ID")
)
/*
1 example row:
SELECT * FROM district LIMIT 1;
District_ID || District_name ||Headquartered_City ||City_Population ||City_Area
1 ||Attock District || Attock City || 94620.0 || 20.0
*/
CREATE TABLE "store_product" (
"Store_ID" int,
"Product_ID" int,
PRIMARY KEY ("Store_ID","Product_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`)
)
/*
1 example row:
SELECT * FROM store_product LIMIT 1;
Store_ID ||Product_ID
1 || 1
*/
CREATE TABLE "store_district" (
"Store_ID" int,
"District_ID" int,
PRIMARY KEY ("Store_ID"),
FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`),
FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`)
)
/*
1 example row:
SELECT * FROM store_district LIMIT 1;
Store_ID ||District_ID
1 || 15
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
How many different colleges are there?
| [query_database(**{'query': 'SELECT count(*) FROM College'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What is the number of colleges with a student population greater than 15000?
| [query_database(**{'query': 'SELECT count(*) FROM College WHERE enr > 15000'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What are the names and number of hours spent training for each player who trains for less than 1500 hours?
| [query_database(**{'query': 'SELECT pName , HS FROM Player WHERE HS < 1500'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What are the different types of player positions?
| [query_database(**{'query': 'SELECT count(DISTINCT pPos) FROM tryout'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What is the number of students playing as a goalie?
| [query_database(**{'query': 'SELECT count(*) FROM tryout WHERE pPos = 'goalie''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What is average number of students enrolled in Florida colleges?
| [query_database(**{'query': 'SELECT avg(enr) FROM College WHERE state = 'FL''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
Who are the players that have names containing the letter a?
| [query_database(**{'query': 'SELECT DISTINCT pName FROM Player WHERE pName LIKE '%a%''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What information do you have on colleges sorted by increasing enrollment numbers?
| [query_database(**{'query': 'SELECT * FROM College ORDER BY enr'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What are the name of the players who received a card in descending order of the hours of training?
| [query_database(**{'query': 'SELECT pName FROM Player WHERE yCard = 'yes' ORDER BY HS 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What was the most popular position at tryouts?
| [query_database(**{'query': 'SELECT pPos FROM tryout GROUP BY pPos 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
For each position, what is the minimum time students spent practicing?
| [query_database(**{'query': 'SELECT min(T2.HS) , T1.pPos FROM tryout AS T1 JOIN player AS T2 ON T1.pID = T2.pID GROUP BY T1.pPos'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What is the name of the school with smallest enrollment size per state?
| [query_database(**{'query': 'SELECT cName , state , min(enr) FROM college GROUP BY state'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What are the different states that had students successfully try out?
| [query_database(**{'query': 'SELECT DISTINCT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What are the names of all students who tried out in alphabetical order?
| [query_database(**{'query': 'SELECT T1.pName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID ORDER BY T1.pName'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What are the states of the colleges where students who tried out for the striker position attend?
| [query_database(**{'query': 'SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'striker''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
In which state is the college that Charles attends?
| [query_database(**{'query': 'SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName JOIN player AS T3 ON T2.pID = T3.pID WHERE T3.pName = 'Charles''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What is the average number of hours spent practicing for students who got rejected?
| [query_database(**{'query': 'SELECT avg(T1.HS) FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'no''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
Which colleges does each player with a name that starts with the letter D who tried out go to?
| [query_database(**{'query': 'SELECT T1.cName FROM tryout AS T1 JOIN player AS T2 ON T1.pID = T2.pID WHERE T2.pName LIKE 'D%''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
Find the name of the tryout players who are from the college with largest size.
| [query_database(**{'query': 'SELECT T2.pName FROM tryout AS T1 JOIN player AS T2 ON T1.pID = T2.pID WHERE T1.cName = (SELECT cName FROM college ORDER BY enr 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 College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
How many students are enrolled in colleges that have student accepted during tryouts, and in which states are those colleges?
| [query_database(**{'query': 'SELECT DISTINCT T1.state , T1.enr FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What are the names of all schools that have students trying out for the position of goal and 'mid'-field.
| [query_database(**{'query': 'SELECT cName FROM tryout WHERE pPos = 'goalie' INTERSECT SELECT cName FROM tryout WHERE pPos = 'mid''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
How many schools have students playing in goalie and mid-field positions?
| [query_database(**{'query': 'SELECT COUNT(*) FROM (SELECT cName FROM tryout WHERE pPos = 'goalie' INTERSECT SELECT cName FROM tryout WHERE pPos = 'mid')'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What are the names of all the states with college students playing in the mid position but no goalies?
| [query_database(**{'query': 'SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'mid' EXCEPT SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'goalie''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
Find the states where have the colleges whose enrollments are less than the largest size.
| [query_database(**{'query': 'SELECT DISTINCT state FROM college WHERE enr < (SELECT max(enr) FROM college)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
Find names of all colleges whose enrollment is greater than that of all colleges in the FL state.
| [query_database(**{'query': 'SELECT cName FROM college WHERE enr > (SELECT max(enr) FROM college WHERE state = 'FL')'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
### Question
What is the number of states that has some college whose enrollment is larger than the average enrollment?
| [query_database(**{'query': 'SELECT count(DISTINCT state) FROM college WHERE enr > (SELECT avg(enr) FROM college)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE College
( cName varchar(20) NOT NULL,
state varchar(2),
enr numeric(5,0),
PRIMARY KEY (cName)
)
/*
1 example row:
SELECT * FROM college LIMIT 1;
cName ||state || enr
LSU || LA ||18000
*/
CREATE TABLE Player
( pID numeric(5,0) NOT NULL,
pName varchar(20),
yCard varchar(3),
HS numeric(5,0),
PRIMARY KEY (pID)
)
/*
1 example row:
SELECT * FROM player LIMIT 1;
pID || pName ||yCard || HS
10001 ||Andrew || no ||1200
*/
CREATE TABLE Tryout
( pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3),
PRIMARY KEY (pID, cName),
FOREIGN KEY (pID) REFERENCES Player(pID),
FOREIGN KEY (cName) REFERENCES College(cName)
)
/*
1 example row:
SELECT * FROM tryout LIMIT 1;
pID ||cName || pPos ||decision
10001 || LSU ||goalie || no
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
How many devices are there?
| [query_database(**{'query': 'SELECT count(*) FROM device'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
Return the device carriers that do not have Android as their software platform.
| [query_database(**{'query': 'SELECT Carrier FROM device WHERE Software_Platform != 'Android''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
Give the average quantity of stocks.
| [query_database(**{'query': 'SELECT avg(Quantity) FROM stock'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
Count the number of different software platforms.
| [query_database(**{'query': 'SELECT count(DISTINCT Software_Platform) FROM device'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
What is the shop name corresponding to the shop that opened in the most recent year?
| [query_database(**{'query': 'SELECT Shop_Name FROM shop ORDER BY Open_Year 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
What are the names of shops that have more than a single kind of device in stock?
| [query_database(**{'query': 'SELECT T2.Shop_Name FROM stock AS T1 JOIN shop AS T2 ON T1.Shop_ID = T2.Shop_ID GROUP BY T1.Shop_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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
What is the name of the shop that has the greatest quantity of devices in stock?
| [query_database(**{'query': 'SELECT T2.Shop_Name FROM stock AS T1 JOIN shop AS T2 ON T1.Shop_ID = T2.Shop_ID GROUP BY T1.Shop_ID ORDER BY SUM(T1.quantity) 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 "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
What are the different software platforms for devices, ordered by frequency descending?
| [query_database(**{'query': 'SELECT Software_Platform FROM device GROUP BY Software_Platform ORDER BY COUNT(*) DESC'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
What are the names of shops that do not have any devices in stock?
| [query_database(**{'query': 'SELECT Shop_Name FROM shop WHERE Shop_ID NOT IN (SELECT Shop_ID FROM stock)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
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]
| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
### Question
What are the carriers of devices that are not in stock anywhere?
| [query_database(**{'query': 'SELECT Carrier FROM device WHERE Device_ID NOT IN (SELECT Device_ID FROM stock)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "device" (
"Device_ID" int,
"Device" text,
"Carrier" text,
"Package_Version" text,
"Applications" text,
"Software_Platform" text,
PRIMARY KEY ("Device_ID")
)
/*
1 example row:
SELECT * FROM device LIMIT 1;
Device_ID || Device || Carrier ||Package_Version ||Applications ||Software_Platform
1 ||BlackBerry Storm 9530 ||MTS Mobility || 5.0.0.808 || 5.0.0.419 || Android
*/
CREATE TABLE "shop" (
"Shop_ID" int,
"Shop_Name" text,
"Location" text,
"Open_Date" text,
"Open_Year" int,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Shop_Name ||Location ||Open_Date ||Open_Year
1 ||Dinas Device || Dinas ||1 January || 2014
*/
CREATE TABLE "stock" (
"Shop_ID" int,
"Device_ID" int,
"Quantity" int,
PRIMARY KEY ("Shop_ID","Device_ID"),
FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
FOREIGN KEY (`Device_ID`) REFERENCES `device`(`Device_ID`)
)
/*
1 example row:
SELECT * FROM stock LIMIT 1;
Shop_ID ||Device_ID ||Quantity
1 || 6 || 100
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
What is the order date of each booking?
| [query_database(**{'query': 'SELECT Order_Date FROM BOOKINGS'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Count the number of customers recorded.
| [query_database(**{'query': 'SELECT count(*) FROM CUSTOMERS'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Show all the Store_Name of drama workshop groups.
| [query_database(**{'query': 'SELECT Store_Name FROM Drama_Workshop_Groups'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
What are the distinct payment method codes in all the invoices?
| [query_database(**{'query': 'SELECT DISTINCT payment_method_code FROM INVOICES'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Show all the distinct product names with price higher than the average.
| [query_database(**{'query': 'SELECT DISTINCT Product_Name FROM PRODUCTS WHERE Product_Price > (SELECT avg(Product_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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
|
5,112 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
List all product names in ascending order of price.
| [query_database(**{'query': 'SELECT Product_Name FROM Products ORDER BY Product_Price 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 Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Show all payment method codes and the number of orders for each code.
| [query_database(**{'query': 'SELECT payment_method_code , count(*) FROM INVOICES GROUP BY payment_method_code'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Which city is the address of the store named "FJA Filming" located in?
| [query_database(**{'query': 'SELECT T1.City_Town FROM Addresses AS T1 JOIN Stores AS T2 ON T1.Address_ID = T2.Address_ID WHERE T2.Store_Name = "FJA Filming"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
What is the name of the marketing region that the store Rob Dinning belongs to?
| [query_database(**{'query': 'SELECT T1.Marketing_Region_Name FROM Marketing_Regions AS T1 JOIN Stores AS T2 ON T1.Marketing_Region_Code = T2.Marketing_Region_Code WHERE T2.Store_Name = "Rob Dinning"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
What is the description, code and the corresponding count of each service type?
| [query_database(**{'query': 'SELECT T1.Service_Type_Description , T2.Service_Type_Code , COUNT(*) FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code GROUP BY T2.Service_Type_Code'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
What are the phones and emails of workshop groups in which services are performed?
| [query_database(**{'query': 'SELECT T1.Store_Phone , T1.Store_Email_Address FROM Drama_Workshop_Groups AS T1 JOIN Services AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
What are the different product names? What is the average product price for each of them?
| [query_database(**{'query': 'SELECT Product_Name , avg(Product_Price) FROM PRODUCTS GROUP BY Product_Name'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
What are the total order quantities of photo products?
| [query_database(**{'query': 'SELECT sum(T1.Order_Quantity) FROM ORDER_ITEMS AS T1 JOIN Products AS T2 ON T1.Product_ID = T2.Product_ID WHERE T2.Product_Name = "photo"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
What are the actual delivery dates of orders with quantity 1?
| [query_database(**{'query': 'SELECT T1.Actual_Delivery_Date FROM Customer_Orders AS T1 JOIN ORDER_ITEMS AS T2 ON T1.Order_ID = T2.Order_ID WHERE T2.Order_Quantity = 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
How many distinct currency codes are there for all drama workshop groups?
| [query_database(**{'query': 'SELECT count(DISTINCT Currency_Code) FROM Drama_Workshop_Groups'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Return the the names of the drama workshop groups that are located in Feliciaberg city.
| [query_database(**{'query': 'SELECT T2.Store_Name FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID WHERE T1.City_Town = "Feliciaberg"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
What is the marketing region code that has the most drama workshop groups?
| [query_database(**{'query': 'SELECT Marketing_Region_Code FROM Drama_Workshop_Groups GROUP BY Marketing_Region_Code ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
What is the most frequent status of bookings?
| [query_database(**{'query': 'SELECT Status_Code FROM BOOKINGS GROUP BY Status_Code ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Which workshop groups have bookings with status code "stop"? Give me the names.
| [query_database(**{'query': 'SELECT T2.Store_Name FROM Bookings AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID WHERE T1.Status_Code = "stop"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
### Question
Find the id of the product ordered the most often on invoices.
| [query_database(**{'query': 'SELECT Product_ID FROM INVOICES GROUP BY Product_ID ORDER BY COUNT(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Payment_Methods (
payment_method_code CHAR(10) NOT NULL,
payment_method_description VARCHAR(80),
PRIMARY KEY (payment_method_code),
UNIQUE (payment_method_code)
)
/*
1 example row:
SELECT * FROM ref_payment_methods LIMIT 1;
payment_method_code ||payment_method_description
American E || credit
*/
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15) NOT NULL,
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255),
PRIMARY KEY (Service_Type_Code),
UNIQUE (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_service_types LIMIT 1;
Service_Type_Code ||Parent_Service_Type_Code ||Service_Type_Description
1 || 1 || provide photo service
*/
CREATE TABLE Addresses (
Address_ID VARCHAR(100) NOT NULL,
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Address_ID),
UNIQUE (Address_ID)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
Address_ID || Line_1 || Line_2 || City_Town ||State_County ||Other_Details
110 ||4753 Dach Highway ||Suite 846 ||Feliciaberg || Florida || None
*/
CREATE TABLE Products (
Product_ID VARCHAR(100) NOT NULL,
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Product_ID),
UNIQUE (Product_ID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
Product_ID ||Product_Name ||Product_Price ||Product_Description ||Other_Product_Service_Details
11 || photo || 4448536 || None || None
*/
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15) NOT NULL,
Marketing_Region_Name VARCHAR(255) NOT NULL,
Marketing_Region_Descriptrion VARCHAR(255) NOT NULL,
Other_Details VARCHAR(255),
PRIMARY KEY (Marketing_Region_Code),
UNIQUE (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM marketing_regions LIMIT 1;
Marketing_Region_Code ||Marketing_Region_Name ||Marketing_Region_Descriptrion ||Other_Details
CA || Canada || Our target market || None
*/
CREATE TABLE Clients (
Client_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Client_ID),
UNIQUE (Client_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM clients LIMIT 1;
Client_ID ||Address_ID ||Customer_Email_Address ||Customer_Name || Customer_Phone ||Other_Details
423 || 201 || [email protected] || Clifford ||(042)912-3404x5135 || VIP
*/
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Currency_Code CHAR(15) NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Workshop_Group_ID),
UNIQUE (Workshop_Group_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM drama_workshop_groups LIMIT 1;
Workshop_Group_ID ||Address_ID ||Currency_Code ||Marketing_Region_Code ||Store_Name || Store_Phone || Store_Email_Address ||Other_Details
136 || 383 || EU || FR ||Amely Cafe ||122-084-8029 ||[email protected] || None
*/
CREATE TABLE Performers (
Performer_ID INTEGER NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Performer_ID),
UNIQUE (Performer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM performers LIMIT 1;
Performer_ID ||Address_ID ||Customer_Name ||Customer_Phone ||Customer_Email_Address ||Other_Details
153 || 124 || Shawna || 664.495.1939 || [email protected] || None
*/
CREATE TABLE Customers (
Customer_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Customer_ID),
UNIQUE (Customer_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID ||Address_ID ||Customer_Name ||Customer_Phone || Customer_Email_Address ||Other_Details
240 || 286 || Harold || 624-096-7791 ||[email protected] || None
*/
CREATE TABLE Stores (
Store_ID VARCHAR(100) NOT NULL,
Address_ID INTEGER NOT NULL,
Marketing_Region_Code CHAR(15) NOT NULL,
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Store_ID),
UNIQUE (Store_ID),
FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID),
FOREIGN KEY (Marketing_Region_Code) REFERENCES Marketing_Regions (Marketing_Region_Code)
)
/*
1 example row:
SELECT * FROM stores LIMIT 1;
Store_ID ||Address_ID ||Marketing_Region_Code || Store_Name || Store_Phone || Store_Email_Address ||Other_Details
150 || 286 || IN ||FJA Filming ||+65(1)3590790358 ||[email protected] || None
*/
CREATE TABLE Bookings (
Booking_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Workshop_Group_ID VARCHAR(100) NOT NULL,
Status_Code CHAR(15) NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Booking_ID),
UNIQUE (Booking_ID),
FOREIGN KEY (Customer_ID) REFERENCES Clients (Client_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID)
)
/*
1 example row:
SELECT * FROM bookings LIMIT 1;
Booking_ID ||Customer_ID ||Workshop_Group_ID ||Status_Code ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 938 || 140 || good || 8 ||2016-12-12 10:43:01 || 2013-03-10 18:47:05 || 1997-11-21 10:07:40 || None
*/
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER NOT NULL,
Performer_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Performer_ID),
FOREIGN KEY (Performer_ID) REFERENCES Performers (Performer_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID)
)
/*
1 example row:
SELECT * FROM performers_in_bookings LIMIT 1;
Order_ID ||Performer_ID
1 || 153
*/
CREATE TABLE Customer_Orders (
Order_ID INTEGER NOT NULL ,
Customer_ID INTEGER NOT NULL,
Store_ID INTEGER NOT NULL,
Order_Date DATETIME NOT NULL,
Planned_Delivery_Date DATETIME NOT NULL,
Actual_Delivery_Date DATETIME NOT NULL,
Other_Order_Details VARCHAR(255),
PRIMARY KEY (Order_ID),
UNIQUE (Order_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Store_ID) REFERENCES Stores (Store_ID)
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
Order_ID ||Customer_ID ||Store_ID || Order_Date ||Planned_Delivery_Date ||Actual_Delivery_Date ||Other_Order_Details
1 || 516 || 231 ||1994-08-03 12:34:58 || 1977-03-11 03:58:19 || 1992-07-21 22:11:11 || None
*/
CREATE TABLE Order_Items (
Order_Item_ID INTEGER NOT NULL ,
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Order_Item_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID)
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
Order_Item_ID ||Order_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 3 || 233 || 1 || None
*/
CREATE TABLE Invoices (
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
payment_method_code CHAR(15),
Product_ID INTEGER NOT NULL,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER NOT NULL,
PRIMARY KEY (Invoice_ID),
FOREIGN KEY (Order_ID) REFERENCES Customer_Orders (Order_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (payment_method_code) REFERENCES Ref_Payment_Methods (payment_method_code)
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
Invoice_ID ||Order_ID ||payment_method_code ||Product_ID ||Order_Quantity ||Other_Item_Details ||Order_Item_ID
128 || 14 || MasterCard || 4 || 2 || None || 1
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER NOT NULL,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255),
PRIMARY KEY (Service_ID),
UNIQUE (Service_ID),
FOREIGN KEY (Workshop_Group_ID) REFERENCES Drama_Workshop_Groups (Workshop_Group_ID),
FOREIGN KEY (Service_Type_Code) REFERENCES Ref_Service_Types (Service_Type_Code)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID ||Service_Type_Code ||Workshop_Group_ID ||Product_Description ||Product_Name ||Product_Price ||Other_Product_Service_Details
191 || 1 || 415 || None || film ||58932775.8822 || None
*/
CREATE TABLE Bookings_Services (
Order_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
PRIMARY KEY (Order_ID, Product_ID),
FOREIGN KEY (Order_ID) REFERENCES Bookings (Booking_ID),
FOREIGN KEY (Product_ID) REFERENCES Services (Service_ID)
)
/*
1 example row:
SELECT * FROM bookings_services LIMIT 1;
Order_ID ||Product_ID
1 || 396
*/
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER NOT NULL ,
Invoice_ID INTEGER NOT NULL,
Order_ID INTEGER NOT NULL,
Order_Item_ID INTEGER NOT NULL,
Product_ID INTEGER NOT NULL,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255),
PRIMARY KEY (Invoice_Item_ID),
FOREIGN KEY (Order_Item_ID) REFERENCES Order_Items (Order_Item_ID),
FOREIGN KEY (Invoice_ID) REFERENCES Invoices (Invoice_ID),
FOREIGN KEY (Order_ID, Product_ID) REFERENCES Bookings_Services (Order_ID,Product_ID)
)
/*
1 example row:
SELECT * FROM invoice_items LIMIT 1;
Invoice_Item_ID ||Invoice_ID ||Order_ID ||Order_Item_ID ||Product_ID ||Order_Quantity ||Other_Item_Details
1 || 128 || 1 || 5 || 396 || 2 || None
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
Find the number of bands.
| [query_database(**{'query': 'SELECT count(*) FROM Band'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What are all the labels?
| [query_database(**{'query': 'SELECT DISTINCT label FROM Albums'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
Find all the albums in 2012.
| [query_database(**{'query': 'SELECT * FROM Albums WHERE YEAR = 2012'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
How many songs are there?
| [query_database(**{'query': 'SELECT count(*) FROM Songs'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
Hom many musicians performed in the song "Flash"?
| [query_database(**{'query': 'SELECT count(*) FROM performance AS T1 JOIN band AS T2 ON T1.bandmate = T2.id JOIN songs AS T3 ON T3.songid = T1.songid WHERE T3.Title = "Flash"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
Who performed the song named "Badlands"? Show the first name and the last name.
| [query_database(**{'query': 'SELECT T2.firstname , T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T3.Title = "Badlands"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
How many unique labels are there for albums?
| [query_database(**{'query': 'SELECT count(DISTINCT label) FROM albums'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What is the last name of the musician that have produced the most number of songs?
| [query_database(**{'query': 'SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId GROUP BY lastname ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
Find all the songs whose name contains the word "the".
| [query_database(**{'query': 'SELECT title FROM songs WHERE title LIKE '% the %''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What instrument did the musician with last name "Heilo" use in the song "Le Pop"?
| [query_database(**{'query': 'SELECT T4.instrument FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId JOIN Instruments AS T4 ON T4.songid = T3.songid AND T4.bandmateid = T2.id WHERE T2.lastname = "Heilo" AND T3.title = "Le Pop"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
How many songs have used the instrument "drums"?
| [query_database(**{'query': 'SELECT count(*) FROM instruments WHERE instrument = "drums"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
How many instruments does the song "Le Pop" use?
| [query_database(**{'query': 'SELECT count(DISTINCT instrument) FROM instruments AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Le Pop"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
Find all the instruments ever used by the musician with last name "Heilo"?
| [query_database(**{'query': 'SELECT instrument FROM instruments AS T1 JOIN Band AS T2 ON T1.bandmateid = T2.id WHERE T2.lastname = "Heilo"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
Which vocal type is the most frequently appearring type?
| [query_database(**{'query': 'SELECT TYPE FROM vocals GROUP BY TYPE ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 vocal types used in song "Le Pop"?
| [query_database(**{'query': 'SELECT TYPE FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Le Pop"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
How many songs have a lead vocal?
| [query_database(**{'query': 'SELECT count(DISTINCT title) FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE TYPE = "lead"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What are the names of the songs without a lead vocal?
| [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 = "lead"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What information is there on albums from 2010?
| [query_database(**{'query': 'SELECT * FROM Albums WHERE YEAR = 2010'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What is the last name of the artist who sang the most songs?
| [query_database(**{'query': 'SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId GROUP BY lastname ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
How many different instruments are used in the song "Badlands"?
| [query_database(**{'query': 'SELECT count(DISTINCT instrument) FROM instruments AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Badlands"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
How many vocal types are used in the song "Le Pop"?
| [query_database(**{'query': 'SELECT count(*) FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Le Pop"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What are the different names of all songs without 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
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
Which vocal type did the musician with last name "Heilo" played in the song with title "Der Kapitan"?
| [query_database(**{'query': 'SELECT TYPE FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid JOIN band AS T3 ON T1.bandmate = T3.id WHERE T3.lastname = "Heilo" AND T2.title = "Der Kapitan"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
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220,
284,
220,
330,
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818,
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
### Question
What is the vocal type of the band mate whose first name is "Marianne" played the most?
| [query_database(**{'query': 'SELECT TYPE FROM vocals AS T1 JOIN band AS T2 ON T1.bandmate = T2.id WHERE firstname = "Marianne" GROUP BY TYPE ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "Songs" (
"SongId" INTEGER PRIMARY KEY,
"Title" TEXT
)
/*
1 example row:
SELECT * FROM songs LIMIT 1;
SongId ||Title
*/
CREATE TABLE "Albums" (
"AId" INTEGER PRIMARY KEY,
"Title" TEXT,
"Year" INTEGER,
"Label" TEXT,
"Type" TEXT )
/*
1 example row:
SELECT * FROM albums LIMIT 1;
AId ||Title ||Year ||Label ||Type
*/
CREATE TABLE "Band" (
"Id" INTEGER PRIMARY KEY,
"Firstname" TEXT,
"Lastname" TEXT )
/*
1 example row:
SELECT * FROM band LIMIT 1;
Id ||Firstname ||Lastname
*/
CREATE TABLE "Instruments" (
"SongId" INTEGER,
"BandmateId" INTEGER,
"Instrument" TEXT ,
PRIMARY KEY(SongId, BandmateId, Instrument),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (BandmateId) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM instruments LIMIT 1;
SongId ||BandmateId ||Instrument
*/
CREATE TABLE "Performance" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"StagePosition" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM performance LIMIT 1;
SongId ||Bandmate ||StagePosition
*/
CREATE TABLE "Tracklists" (
"AlbumId" INTEGER,
"Position" INTEGER,
"SongId" INTEGER ,
PRIMARY KEY(AlbumId, Position),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (AlbumId) REFERENCES Albums(AId)
)
/*
1 example row:
SELECT * FROM tracklists LIMIT 1;
AlbumId ||Position ||SongId
*/
CREATE TABLE "Vocals" (
"SongId" INTEGER,
"Bandmate" INTEGER,
"Type" TEXT,
PRIMARY KEY(SongId, Bandmate),
FOREIGN KEY (SongId) REFERENCES Songs(SongId),
FOREIGN KEY (Bandmate) REFERENCES Band(Id)
)
/*
1 example row:
SELECT * FROM vocals LIMIT 1;
SongId ||Bandmate ||Type
*/
|
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