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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "musical" (
"Musical_ID" int,
"Name" text,
"Year" int,
"Award" text,
"Category" text,
"Nominee" text,
"Result" text,
PRIMARY KEY ("Musical_ID")
)
/*
1 example row:
SELECT * FROM musical LIMIT 1;
Musical_ID || Name ||Year || Award || Category || Nominee || Result
1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated
*/
CREATE TABLE "actor" (
"Actor_ID" int,
"Name" text,
"Musical_ID" int,
"Character" text,
"Duration" text,
"age" int,
PRIMARY KEY ("Actor_ID"),
FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID")
)
/*
1 example row:
SELECT * FROM actor LIMIT 1;
Actor_ID || Name ||Musical_ID || Character ||Duration ||age
1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26
*/
### Question
Return the most frequent result across all musicals.
| [query_database(**{'query': 'SELECT RESULT FROM musical GROUP BY RESULT 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 "musical" (
"Musical_ID" int,
"Name" text,
"Year" int,
"Award" text,
"Category" text,
"Nominee" text,
"Result" text,
PRIMARY KEY ("Musical_ID")
)
/*
1 example row:
SELECT * FROM musical LIMIT 1;
Musical_ID || Name ||Year || Award || Category || Nominee || Result
1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated
*/
CREATE TABLE "actor" (
"Actor_ID" int,
"Name" text,
"Musical_ID" int,
"Character" text,
"Duration" text,
"age" int,
PRIMARY KEY ("Actor_ID"),
FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID")
)
/*
1 example row:
SELECT * FROM actor LIMIT 1;
Actor_ID || Name ||Musical_ID || Character ||Duration ||age
1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "musical" (
"Musical_ID" int,
"Name" text,
"Year" int,
"Award" text,
"Category" text,
"Nominee" text,
"Result" text,
PRIMARY KEY ("Musical_ID")
)
/*
1 example row:
SELECT * FROM musical LIMIT 1;
Musical_ID || Name ||Year || Award || Category || Nominee || Result
1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated
*/
CREATE TABLE "actor" (
"Actor_ID" int,
"Name" text,
"Musical_ID" int,
"Character" text,
"Duration" text,
"age" int,
PRIMARY KEY ("Actor_ID"),
FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID")
)
/*
1 example row:
SELECT * FROM actor LIMIT 1;
Actor_ID || Name ||Musical_ID || Character ||Duration ||age
1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26
*/
### Question
What are the names of musicals who have no actors?
| [query_database(**{'query': 'SELECT Name FROM musical WHERE Musical_ID NOT IN (SELECT Musical_ID FROM actor)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "musical" (
"Musical_ID" int,
"Name" text,
"Year" int,
"Award" text,
"Category" text,
"Nominee" text,
"Result" text,
PRIMARY KEY ("Musical_ID")
)
/*
1 example row:
SELECT * FROM musical LIMIT 1;
Musical_ID || Name ||Year || Award || Category || Nominee || Result
1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated
*/
CREATE TABLE "actor" (
"Actor_ID" int,
"Name" text,
"Musical_ID" int,
"Character" text,
"Duration" text,
"age" int,
PRIMARY KEY ("Actor_ID"),
FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID")
)
/*
1 example row:
SELECT * FROM actor LIMIT 1;
Actor_ID || Name ||Musical_ID || Character ||Duration ||age
1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "musical" (
"Musical_ID" int,
"Name" text,
"Year" int,
"Award" text,
"Category" text,
"Nominee" text,
"Result" text,
PRIMARY KEY ("Musical_ID")
)
/*
1 example row:
SELECT * FROM musical LIMIT 1;
Musical_ID || Name ||Year || Award || Category || Nominee || Result
1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated
*/
CREATE TABLE "actor" (
"Actor_ID" int,
"Name" text,
"Musical_ID" int,
"Character" text,
"Duration" text,
"age" int,
PRIMARY KEY ("Actor_ID"),
FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID")
)
/*
1 example row:
SELECT * FROM actor LIMIT 1;
Actor_ID || Name ||Musical_ID || Character ||Duration ||age
1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26
*/
### Question
Who are the nominees who were nominated for either of the Bob Fosse or Cleavant Derricks awards?
| [query_database(**{'query': 'SELECT Nominee FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "musical" (
"Musical_ID" int,
"Name" text,
"Year" int,
"Award" text,
"Category" text,
"Nominee" text,
"Result" text,
PRIMARY KEY ("Musical_ID")
)
/*
1 example row:
SELECT * FROM musical LIMIT 1;
Musical_ID || Name ||Year || Award || Category || Nominee || Result
1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated
*/
CREATE TABLE "actor" (
"Actor_ID" int,
"Name" text,
"Musical_ID" int,
"Character" text,
"Duration" text,
"age" int,
PRIMARY KEY ("Actor_ID"),
FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID")
)
/*
1 example row:
SELECT * FROM actor LIMIT 1;
Actor_ID || Name ||Musical_ID || Character ||Duration ||age
1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `follows` (
`f1` int(11) NOT NULL,
`f2` int(11) NOT NULL,
PRIMARY KEY (`f1`,`f2`),
FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`),
FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM follows LIMIT 1;
f1 ||f2
1 || 2
*/
CREATE TABLE `tweets` (
`id` bigint(20) NOT NULL,
`uid` int(11) NOT NULL,
`text` char(140) NOT NULL,
`createdate` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM tweets LIMIT 1;
id ||uid || text || createdate
1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14
*/
CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`))
/*
1 example row:
SELECT * FROM user_profiles LIMIT 1;
uid || name || email ||partitionid ||followers
1 ||Iron Man ||[email protected] || 1 || 6662425
*/
### Question
How many followers does each user have?
| [query_database(**{'query': 'SELECT count(*) FROM follows'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `follows` (
`f1` int(11) NOT NULL,
`f2` int(11) NOT NULL,
PRIMARY KEY (`f1`,`f2`),
FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`),
FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM follows LIMIT 1;
f1 ||f2
1 || 2
*/
CREATE TABLE `tweets` (
`id` bigint(20) NOT NULL,
`uid` int(11) NOT NULL,
`text` char(140) NOT NULL,
`createdate` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM tweets LIMIT 1;
id ||uid || text || createdate
1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14
*/
CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`))
/*
1 example row:
SELECT * FROM user_profiles LIMIT 1;
uid || name || email ||partitionid ||followers
1 ||Iron Man ||[email protected] || 1 || 6662425
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `follows` (
`f1` int(11) NOT NULL,
`f2` int(11) NOT NULL,
PRIMARY KEY (`f1`,`f2`),
FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`),
FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM follows LIMIT 1;
f1 ||f2
1 || 2
*/
CREATE TABLE `tweets` (
`id` bigint(20) NOT NULL,
`uid` int(11) NOT NULL,
`text` char(140) NOT NULL,
`createdate` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM tweets LIMIT 1;
id ||uid || text || createdate
1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14
*/
CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`))
/*
1 example row:
SELECT * FROM user_profiles LIMIT 1;
uid || name || email ||partitionid ||followers
1 ||Iron Man ||[email protected] || 1 || 6662425
*/
### Question
Find the name and email of the user whose name contains the word ‘Swift’.
| [query_database(**{'query': 'SELECT name , email FROM user_profiles WHERE name LIKE '%Swift%''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `follows` (
`f1` int(11) NOT NULL,
`f2` int(11) NOT NULL,
PRIMARY KEY (`f1`,`f2`),
FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`),
FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM follows LIMIT 1;
f1 ||f2
1 || 2
*/
CREATE TABLE `tweets` (
`id` bigint(20) NOT NULL,
`uid` int(11) NOT NULL,
`text` char(140) NOT NULL,
`createdate` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM tweets LIMIT 1;
id ||uid || text || createdate
1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14
*/
CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`))
/*
1 example row:
SELECT * FROM user_profiles LIMIT 1;
uid || name || email ||partitionid ||followers
1 ||Iron Man ||[email protected] || 1 || 6662425
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `follows` (
`f1` int(11) NOT NULL,
`f2` int(11) NOT NULL,
PRIMARY KEY (`f1`,`f2`),
FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`),
FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM follows LIMIT 1;
f1 ||f2
1 || 2
*/
CREATE TABLE `tweets` (
`id` bigint(20) NOT NULL,
`uid` int(11) NOT NULL,
`text` char(140) NOT NULL,
`createdate` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM tweets LIMIT 1;
id ||uid || text || createdate
1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14
*/
CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`))
/*
1 example row:
SELECT * FROM user_profiles LIMIT 1;
uid || name || email ||partitionid ||followers
1 ||Iron Man ||[email protected] || 1 || 6662425
*/
### Question
Find the names of the users whose number of followers is greater than that of the user named "Tyler Swift".
| [query_database(**{'query': 'SELECT T1.name FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 GROUP BY T2.f1 HAVING count(*) > (SELECT count(*) FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 WHERE T1.name = 'Tyler Swift')'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `follows` (
`f1` int(11) NOT NULL,
`f2` int(11) NOT NULL,
PRIMARY KEY (`f1`,`f2`),
FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`),
FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM follows LIMIT 1;
f1 ||f2
1 || 2
*/
CREATE TABLE `tweets` (
`id` bigint(20) NOT NULL,
`uid` int(11) NOT NULL,
`text` char(140) NOT NULL,
`createdate` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM tweets LIMIT 1;
id ||uid || text || createdate
1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14
*/
CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`))
/*
1 example row:
SELECT * FROM user_profiles LIMIT 1;
uid || name || email ||partitionid ||followers
1 ||Iron Man ||[email protected] || 1 || 6662425
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `follows` (
`f1` int(11) NOT NULL,
`f2` int(11) NOT NULL,
PRIMARY KEY (`f1`,`f2`),
FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`),
FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM follows LIMIT 1;
f1 ||f2
1 || 2
*/
CREATE TABLE `tweets` (
`id` bigint(20) NOT NULL,
`uid` int(11) NOT NULL,
`text` char(140) NOT NULL,
`createdate` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM tweets LIMIT 1;
id ||uid || text || createdate
1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14
*/
CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`))
/*
1 example row:
SELECT * FROM user_profiles LIMIT 1;
uid || name || email ||partitionid ||followers
1 ||Iron Man ||[email protected] || 1 || 6662425
*/
### Question
Find the name and email of the user followed by the least number of people.
| [query_database(**{'query': 'SELECT name , email FROM user_profiles ORDER BY followers 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 `follows` (
`f1` int(11) NOT NULL,
`f2` int(11) NOT NULL,
PRIMARY KEY (`f1`,`f2`),
FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`),
FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM follows LIMIT 1;
f1 ||f2
1 || 2
*/
CREATE TABLE `tweets` (
`id` bigint(20) NOT NULL,
`uid` int(11) NOT NULL,
`text` char(140) NOT NULL,
`createdate` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM tweets LIMIT 1;
id ||uid || text || createdate
1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14
*/
CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`))
/*
1 example row:
SELECT * FROM user_profiles LIMIT 1;
uid || name || email ||partitionid ||followers
1 ||Iron Man ||[email protected] || 1 || 6662425
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `follows` (
`f1` int(11) NOT NULL,
`f2` int(11) NOT NULL,
PRIMARY KEY (`f1`,`f2`),
FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`),
FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM follows LIMIT 1;
f1 ||f2
1 || 2
*/
CREATE TABLE `tweets` (
`id` bigint(20) NOT NULL,
`uid` int(11) NOT NULL,
`text` char(140) NOT NULL,
`createdate` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM tweets LIMIT 1;
id ||uid || text || createdate
1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14
*/
CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`))
/*
1 example row:
SELECT * FROM user_profiles LIMIT 1;
uid || name || email ||partitionid ||followers
1 ||Iron Man ||[email protected] || 1 || 6662425
*/
### Question
List the text of all tweets in the order of date.
| [query_database(**{'query': 'SELECT text FROM tweets ORDER BY createdate'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `follows` (
`f1` int(11) NOT NULL,
`f2` int(11) NOT NULL,
PRIMARY KEY (`f1`,`f2`),
FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`),
FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM follows LIMIT 1;
f1 ||f2
1 || 2
*/
CREATE TABLE `tweets` (
`id` bigint(20) NOT NULL,
`uid` int(11) NOT NULL,
`text` char(140) NOT NULL,
`createdate` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM tweets LIMIT 1;
id ||uid || text || createdate
1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14
*/
CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`))
/*
1 example row:
SELECT * FROM user_profiles LIMIT 1;
uid || name || email ||partitionid ||followers
1 ||Iron Man ||[email protected] || 1 || 6662425
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `follows` (
`f1` int(11) NOT NULL,
`f2` int(11) NOT NULL,
PRIMARY KEY (`f1`,`f2`),
FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`),
FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM follows LIMIT 1;
f1 ||f2
1 || 2
*/
CREATE TABLE `tweets` (
`id` bigint(20) NOT NULL,
`uid` int(11) NOT NULL,
`text` char(140) NOT NULL,
`createdate` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM tweets LIMIT 1;
id ||uid || text || createdate
1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14
*/
CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`))
/*
1 example row:
SELECT * FROM user_profiles LIMIT 1;
uid || name || email ||partitionid ||followers
1 ||Iron Man ||[email protected] || 1 || 6662425
*/
### Question
Find the average number of followers for the users who had some tweets.
| [query_database(**{'query': 'SELECT avg(followers) FROM user_profiles WHERE UID IN (SELECT UID FROM tweets)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `follows` (
`f1` int(11) NOT NULL,
`f2` int(11) NOT NULL,
PRIMARY KEY (`f1`,`f2`),
FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`),
FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM follows LIMIT 1;
f1 ||f2
1 || 2
*/
CREATE TABLE `tweets` (
`id` bigint(20) NOT NULL,
`uid` int(11) NOT NULL,
`text` char(140) NOT NULL,
`createdate` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`)
)
/*
1 example row:
SELECT * FROM tweets LIMIT 1;
id ||uid || text || createdate
1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14
*/
CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`))
/*
1 example row:
SELECT * FROM user_profiles LIMIT 1;
uid || name || email ||partitionid ||followers
1 ||Iron Man ||[email protected] || 1 || 6662425
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 1
*/
### Question
Find the list of attribute data types possessed by more than 3 attribute definitions.
| [query_database(**{'query': 'SELECT attribute_data_type FROM Attribute_Definitions GROUP BY attribute_data_type HAVING count(*) > 3'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 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 `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 1
*/
### Question
Find the name and level of catalog structure with level between 5 and 10.
| [query_database(**{'query': 'SELECT catalog_level_name , catalog_level_number FROM Catalog_Structure WHERE catalog_level_number BETWEEN 5 AND 10'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 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 `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 1
*/
### Question
Which catalog publishers have substring "Murray" in their names?
| [query_database(**{'query': 'SELECT distinct(catalog_publisher) FROM catalogs WHERE catalog_publisher LIKE "%Murray%"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 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 `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 1
*/
### Question
What are the name and publication date of the catalogs with catalog level number above 5?
| [query_database(**{'query': 'SELECT t1.catalog_name , t1.date_of_publication FROM catalogs AS t1 JOIN catalog_structure AS t2 ON t1.catalog_id = t2.catalog_id WHERE catalog_level_number > 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 `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 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 `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 1
*/
### Question
Find the entry name of the catalog with the highest price (in USD).
| [query_database(**{'query': 'SELECT catalog_entry_name FROM catalog_contents ORDER BY price_in_dollars 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 `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 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 `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 1
*/
### Question
Give me the average and minimum price (in Euro) of the products.
| [query_database(**{'query': 'SELECT avg(price_in_euros) , min(price_in_euros) FROM catalog_contents'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 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 `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 1
*/
### Question
Which catalog content has the smallest capacity? Return the catalog entry name.
| [query_database(**{'query': 'SELECT catalog_entry_name FROM catalog_contents ORDER BY capacity ASC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 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 `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 1
*/
### Question
What are the names of catalog entries with level number 8?
| [query_database(**{'query': 'SELECT t1.catalog_entry_name FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.catalog_level_number = "8"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 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 `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 1
*/
### Question
Which attribute definitions have attribute value 0? Give me the attribute name and attribute ID.
| [query_database(**{'query': 'SELECT t1.attribute_name , t1.attribute_id FROM Attribute_Definitions AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.attribute_id = t2.attribute_id WHERE t2.attribute_value = 0'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 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 `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 1
*/
### Question
On which days more than one revisions were made on catalogs.
| [query_database(**{'query': 'SELECT date_of_latest_revision FROM Catalogs GROUP BY date_of_latest_revision 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 `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 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 `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 1
*/
### Question
What are the catalog entry names of the products with next entry ID above 8?
| [query_database(**{'query': 'SELECT catalog_entry_name FROM catalog_contents WHERE next_entry_id > 8'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Attribute_Definitions` (
`attribute_id` INTEGER PRIMARY KEY,
`attribute_name` VARCHAR(30),
`attribute_data_type` VARCHAR(10)
)
/*
1 example row:
SELECT * FROM attribute_definitions LIMIT 1;
attribute_id ||attribute_name ||attribute_data_type
1 || Green || Bool
*/
CREATE TABLE `Catalogs` (
`catalog_id` INTEGER PRIMARY KEY,
`catalog_name` VARCHAR(50),
`catalog_publisher` VARCHAR(80),
`date_of_publication` DATETIME,
`date_of_latest_revision` DATETIME
)
/*
1 example row:
SELECT * FROM catalogs LIMIT 1;
catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision
1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36
*/
CREATE TABLE `Catalog_Structure` (
`catalog_level_number` INTEGER PRIMARY KEY,
`catalog_id` INTEGER NOT NULL,
`catalog_level_name` VARCHAR(50),
FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` )
)
/*
1 example row:
SELECT * FROM catalog_structure LIMIT 1;
catalog_level_number ||catalog_id ||catalog_level_name
1 || 1 || Category
*/
CREATE TABLE `Catalog_Contents` (
`catalog_entry_id` INTEGER PRIMARY KEY,
`catalog_level_number` INTEGER NOT NULL,
`parent_entry_id` INTEGER,
`previous_entry_id` INTEGER,
`next_entry_id` INTEGER,
`catalog_entry_name` VARCHAR(80),
`product_stock_number` VARCHAR(50),
`price_in_dollars` DOUBLE NULL,
`price_in_euros` DOUBLE NULL,
`price_in_pounds` DOUBLE NULL,
`capacity` VARCHAR(20),
`length` VARCHAR(20),
`height` VARCHAR(20),
`width` VARCHAR(20),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents LIMIT 1;
catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width
1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5
*/
CREATE TABLE `Catalog_Contents_Additional_Attributes` (
`catalog_entry_id` INTEGER NOT NULL,
`catalog_level_number` INTEGER NOT NULL,
`attribute_id` INTEGER NOT NULL,
`attribute_value` VARCHAR(255) NOT NULL,
FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ),
FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` )
)
/*
1 example row:
SELECT * FROM catalog_contents_additional_attributes LIMIT 1;
catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value
5 || 8 || 4 || 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 flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
Show ids for all aircrafts with more than 1000 distance.
| [query_database(**{'query': 'SELECT aid FROM Aircraft WHERE distance > 1000'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
What is the name and distance for aircraft with id 12?
| [query_database(**{'query': 'SELECT name , distance FROM Aircraft WHERE aid = 12'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
Return the minimum, average and maximum distances traveled across all aircrafts.
| [query_database(**{'query': 'SELECT min(distance) , avg(distance) , max(distance) FROM Aircraft'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
Show names for all aircrafts with distances more than the average.
| [query_database(**{'query': 'SELECT name FROM Aircraft WHERE distance > (SELECT avg(distance) FROM Aircraft)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
Show name and salary for all employees sorted by salary.
| [query_database(**{'query': 'SELECT name , salary FROM Employee ORDER BY salary'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
What is the number of employees that have a salary between 100000 and 200000?
| [query_database(**{'query': 'SELECT count(*) FROM Employee WHERE salary BETWEEN 100000 AND 200000'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
What is the average and largest salary of all employees?
| [query_database(**{'query': 'SELECT avg(salary) , max(salary) FROM Employee'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
Show the name of employees with three lowest salaries.
| [query_database(**{'query': 'SELECT name FROM Employee ORDER BY salary ASC 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 flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
What are the names of all employees who have a salary higher than average?
| [query_database(**{'query': 'SELECT name FROM Employee WHERE salary > (SELECT avg(salary) FROM Employee)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
What is the number of flights?
| [query_database(**{'query': 'SELECT count(*) FROM Flight'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
What are the numbers of all flights coming from Los Angeles?
| [query_database(**{'query': 'SELECT flno FROM Flight WHERE origin = "Los Angeles"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
Show me the departure date and arrival date for all flights from Los Angeles to Honolulu.
| [query_database(**{'query': 'SELECT departure_date , arrival_date FROM Flight WHERE origin = "Los Angeles" AND destination = "Honolulu"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
What is the average price for flights from LA to Honolulu?
| [query_database(**{'query': 'SELECT avg(price) FROM Flight WHERE origin = "Los Angeles" AND destination = "Honolulu"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
What is the flight number and its distance for the one with the maximum price?
| [query_database(**{'query': 'SELECT flno , distance FROM Flight ORDER BY price 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 flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
What is the average distance and price for all flights from LA?
| [query_database(**{'query': 'SELECT avg(distance) , avg(price) FROM Flight WHERE origin = "Los Angeles"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
Which origin has most number of flights?
| [query_database(**{'query': 'SELECT origin FROM Flight GROUP BY origin 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 flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
What destination has the fewest number of flights?
| [query_database(**{'query': 'SELECT destination FROM Flight GROUP BY destination ORDER BY count(*) 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 flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
What are the flight numbers for the aircraft Airbus A340-300?
| [query_database(**{'query': 'SELECT T1.flno FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid WHERE T2.name = "Airbus A340-300"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
What are the names for all aircrafts with at least 2 flights?
| [query_database(**{'query': 'SELECT T2.name FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid HAVING count(*) >= 2'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
Show names for all aircrafts of which John Williams has certificates.
| [query_database(**{'query': 'SELECT T3.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T1.name = "John Williams"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
Show names for all employees who have certificates on both Boeing 737-800 and Airbus A340-300.
| [query_database(**{'query': 'SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Boeing 737-800" INTERSECT SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Airbus A340-300"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
Show the name of aircraft which fewest people have its certificate.
| [query_database(**{'query': 'SELECT T2.name FROM Certificate AS T1 JOIN Aircraft AS T2 ON T2.aid = T1.aid GROUP BY T1.aid 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 flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
### Question
what is the salary and name of the employee who has the most number of aircraft certificates?
| [query_database(**{'query': 'SELECT T1.name , T1.salary FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid GROUP BY T1.eid 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 flight(
flno number(4,0) primary key,
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM flight LIMIT 1;
flno || origin || destination ||distance || departure_date || arrival_date || price ||aid
99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1
*/
CREATE TABLE aircraft(
aid number(9,0) primary key,
name varchar2(30),
distance number(6,0))
/*
1 example row:
SELECT * FROM aircraft LIMIT 1;
aid || name ||distance
1 ||Boeing 747-400 || 8430
*/
CREATE TABLE employee(
eid number(9,0) primary key,
name varchar2(30),
salary number(10,2))
/*
1 example row:
SELECT * FROM employee LIMIT 1;
eid || name ||salary
242518965 ||James Smith ||120433
*/
CREATE TABLE certificate(
eid number(9,0),
aid number(9,0),
primary key(eid,aid),
foreign key("eid") references `employee`("eid"),
foreign key("aid") references `aircraft`("aid"))
/*
1 example row:
SELECT * FROM certificate LIMIT 1;
eid ||aid
11564812 || 2
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
How many allergy entries are there?
| [query_database(**{'query': 'SELECT count(DISTINCT allergy) FROM Allergy_type'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
What are the different allergy types?
| [query_database(**{'query': 'SELECT DISTINCT allergytype FROM Allergy_type'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
What are the allergies and their types?
| [query_database(**{'query': 'SELECT allergy , allergytype FROM Allergy_type'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
How many animal type allergies exist?
| [query_database(**{'query': 'SELECT count(*) FROM Allergy_type WHERE allergytype = "animal"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
Which allergy type is most common?
| [query_database(**{'query': 'SELECT allergytype FROM Allergy_type GROUP BY allergytype 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 Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
What is the total number of students?
| [query_database(**{'query': 'SELECT count(*) FROM Student'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
How many advisors are there?
| [query_database(**{'query': 'SELECT count(DISTINCT advisor) FROM Student'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
What cities do students live in?
| [query_database(**{'query': 'SELECT DISTINCT city_code FROM Student'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
What are the student ids for all male students?
| [query_database(**{'query': 'SELECT StuID FROM Student WHERE Sex = 'M''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
What are the student ids for students over 20 years old?
| [query_database(**{'query': 'SELECT StuID FROM Student WHERE age > 20'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
Who advises student 1004?
| [query_database(**{'query': 'SELECT Advisor FROM Student WHERE StuID = 1004'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
How many students live in HKG or CHI?
| [query_database(**{'query': 'SELECT count(*) FROM Student WHERE city_code = "HKG" OR city_code = "CHI"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
Show the student id of the oldest student.
| [query_database(**{'query': 'SELECT StuID FROM Student WHERE age = (SELECT max(age) FROM Student)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
What is the largest major?
| [query_database(**{'query': 'SELECT major FROM Student GROUP BY major ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
What are the average ages for male and female students?
| [query_database(**{'query': 'SELECT avg(age) , sex FROM Student GROUP BY sex'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
How many students does each advisor have?
| [query_database(**{'query': 'SELECT advisor , count(*) FROM Student GROUP BY advisor'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
Give the advisor with the most students.
| [query_database(**{'query': 'SELECT advisor FROM Student GROUP BY advisor 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 Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
Which students are unaffected by allergies?
| [query_database(**{'query': 'SELECT StuID FROM Student EXCEPT SELECT StuID FROM Has_allergy'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
How many students are affected by food related allergies?
| [query_database(**{'query': 'SELECT count(*) FROM Has_allergy AS T1 JOIN Allergy_type AS T2 ON T1.allergy = T2.allergy WHERE T2.allergytype = "food"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
Show all allergies with number of students affected.
| [query_database(**{'query': 'SELECT Allergy , count(*) FROM Has_allergy GROUP BY Allergy'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
Find the last name and age of the student who has allergy to both milk and cat.
| [query_database(**{'query': 'SELECT lname , age FROM Student WHERE StuID IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Milk" INTERSECT SELECT StuID FROM Has_allergy WHERE Allergy = "Cat")'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
Find the first name and gender of the student who has allergy to milk but not cat.
| [query_database(**{'query': 'SELECT fname , sex FROM Student WHERE StuID IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Milk" EXCEPT SELECT StuID FROM Has_allergy WHERE Allergy = "Cat")'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
Find the average age of the students who have allergies with food and animal types.
| [query_database(**{'query': 'SELECT avg(age) FROM Student WHERE StuID IN ( SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food" INTERSECT SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "animal")'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
Find the different first names and cities of the students who have allergy to milk or cat.
| [query_database(**{'query': 'SELECT DISTINCT T1.fname , T1.city_code FROM Student AS T1 JOIN Has_Allergy AS T2 ON T1.stuid = T2.stuid WHERE T2.Allergy = "Milk" OR T2.Allergy = "Cat"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
### Question
What are the first name and major of the students who are able to consume soy?
| [query_database(**{'query': 'SELECT fname , major FROM Student WHERE StuID NOT IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Soy")'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20) PRIMARY KEY,
AllergyType VARCHAR(20)
)
/*
1 example row:
SELECT * FROM allergy_type LIMIT 1;
Allergy ||AllergyType
Eggs || food
*/
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20),
FOREIGN KEY(StuID) REFERENCES Student(StuID),
FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy)
)
/*
1 example row:
SELECT * FROM has_allergy LIMIT 1;
StuID ||Allergy
1001 || Cat
*/
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
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1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
What are the top 5 countries by number of invoices and how many do they have?
| [query_database(**{'query': 'SELECT billing_country , COUNT(*) FROM invoices GROUP BY billing_country ORDER BY count(*) 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 artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
A list of the top 10 countries by average invoice size. List country name and average invoice size.
| [query_database(**{'query': 'SELECT billing_country , AVG(total) FROM invoices GROUP BY billing_country ORDER BY AVG(total) DESC LIMIT 10;'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
What are the top 10 customers' first and last names by total number of orders and how many orders did they make?
| [query_database(**{'query': 'SELECT T1.first_name , T1.last_name , COUNT(*) FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id GROUP BY T1.id ORDER BY COUNT(*) DESC LIMIT 10;'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
How many tracks does each genre have and what are the names of the top 5?
| [query_database(**{'query': 'SELECT T1.name , COUNT(*) FROM genres AS T1 JOIN tracks AS T2 ON T2.genre_id = T1.id GROUP BY T1.id ORDER BY count(*) 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 artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
What are the titles of all albums that start with A in alphabetical order?
| [query_database(**{'query': 'SELECT title FROM albums WHERE title LIKE 'A%' ORDER BY title;'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
What are the total amount of money in the invoices billed from Chicago, Illinois?
| [query_database(**{'query': 'SELECT sum(total) FROM invoices WHERE billing_city = "Chicago" AND billing_state = "IL";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
List the number of invoices from Chicago, IL.
| [query_database(**{'query': 'SELECT COUNT(*) FROM invoices WHERE billing_city = "Chicago" AND billing_state = "IL";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
List the state in the US with the most invoices.
| [query_database(**{'query': 'SELECT billing_state , COUNT(*) FROM invoices WHERE billing_country = "USA" GROUP BY billing_state 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 artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
What are the titles of all the Aerosmith albums?
| [query_database(**{'query': 'SELECT T1.title FROM albums AS T1 JOIN artists AS T2 ON T1.artist_id = T2.id WHERE T2.name = "Aerosmith";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
Eduardo Martins is a customer at which company?
| [query_database(**{'query': 'SELECT company FROM customers WHERE first_name = "Eduardo" AND last_name = "Martins";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
How many customers live in Prague city?
| [query_database(**{'query': 'SELECT count(*) FROM customers WHERE city = "Prague";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
What country does Roberto Almeida live?
| [query_database(**{'query': 'SELECT country FROM customers WHERE first_name = "Roberto" AND last_name = "Almeida";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
How many customers does Steve Johnson support?
| [query_database(**{'query': 'SELECT count(*) FROM employees AS T1 JOIN customers AS T2 ON T2.support_rep_id = T1.id WHERE T1.first_name = "Steve" AND T1.last_name = "Johnson";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
find the full name of employees who report to Nancy Edwards?
| [query_database(**{'query': 'SELECT T2.first_name , T2.last_name FROM employees AS T1 JOIN employees AS T2 ON T1.id = T2.reports_to WHERE T1.first_name = "Nancy" AND T1.last_name = "Edwards";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
Find the full name of employee who supported the most number of customers.
| [query_database(**{'query': 'SELECT T1.first_name , T1.last_name FROM employees AS T1 JOIN customers AS T2 ON T1.id = T2.support_rep_id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
Who is the youngest employee in the company? List employee's first and last name.
| [query_database(**{'query': 'SELECT first_name , last_name FROM employees ORDER BY birth_date DESC LIMIT 1;'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
Find the number of employees whose title is IT Staff from each city?
| [query_database(**{'query': 'SELECT count(*) , city FROM employees WHERE title = 'IT Staff' GROUP BY city'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
How many orders does Lucas Mancini has?
| [query_database(**{'query': 'SELECT count(*) FROM customers AS T1 JOIN invoices AS T2 ON T1.id = T2.customer_id WHERE T1.first_name = "Lucas" AND T1.last_name = "Mancini";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
List all media types.
| [query_database(**{'query': 'SELECT name FROM media_types;'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
List the name of all playlist.
| [query_database(**{'query': 'SELECT name FROM playlists;'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
How long does track Fast As a Shark has?
| [query_database(**{'query': 'SELECT milliseconds FROM tracks WHERE name = "Fast As a Shark";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
What is the name of all tracks in the Rock genre?
| [query_database(**{'query': 'SELECT T2.name FROM genres AS T1 JOIN tracks AS T2 ON T1.id = T2.genre_id WHERE T1.name = "Rock";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
What is the name of all tracks in the album named Balls to the Wall?
| [query_database(**{'query': 'SELECT T2.name FROM albums AS T1 JOIN tracks AS T2 ON T1.id = T2.genre_id WHERE T1.title = "Balls to the Wall";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
What are the names of all Rock tracks that are stored on MPEG audio files?
| [query_database(**{'query': 'SELECT T2.name FROM genres AS T1 JOIN tracks AS T2 ON T1.id = T2.genre_id JOIN media_types AS T3 ON T3.id = T2.media_type_id WHERE T1.name = "Rock" AND T3.name = "MPEG audio file";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
List the name of all tracks in the playlists of Movies.
| [query_database(**{'query': 'SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T3.id = T2.playlist_id WHERE T3.name = "Movies";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
|
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
List all tracks bought by customer Daan Peeters.
| [query_database(**{'query': 'SELECT T1.name FROM tracks AS T1 JOIN invoice_lines AS T2 ON T1.id = T2.track_id JOIN invoices AS T3 ON T3.id = T2.invoice_id JOIN customers AS T4 ON T4.id = T3.customer_id WHERE T4.first_name = "Daan" AND T4.last_name = "Peeters";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
Find the name of tracks which are in Movies playlist but not in music playlist.
| [query_database(**{'query': 'SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T2.playlist_id = T3.id WHERE T3.name = 'Movies' EXCEPT SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T2.playlist_id = T3.id WHERE T3.name = 'Music''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
### Question
Find number of tracks in each genre?
| [query_database(**{'query': 'SELECT count(*) , T1.name FROM genres AS T1 JOIN tracks AS T2 ON T1.id = T2.genre_id GROUP BY T1.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 artists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM artists LIMIT 1;
id || name
1 ||AC/DC
*/
CREATE TABLE albums
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
title VARCHAR(160) NOT NULL,
artist_id INTEGER NOT NULL,
FOREIGN KEY (artist_id) REFERENCES artists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM albums LIMIT 1;
id || title ||artist_id
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE employees
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
last_name VARCHAR(20) NOT NULL,
first_name VARCHAR(20) NOT NULL,
title VARCHAR(30),
reports_to INTEGER,
birth_date TIMESTAMP,
hire_date TIMESTAMP,
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60),
FOREIGN KEY (reports_to) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE customers
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
first_name VARCHAR(40) NOT NULL,
last_name VARCHAR(20) NOT NULL,
company VARCHAR(80),
address VARCHAR(70),
city VARCHAR(40),
state VARCHAR(40),
country VARCHAR(40),
postal_code VARCHAR(10),
phone VARCHAR(24),
fax VARCHAR(24),
email VARCHAR(60) NOT NULL,
support_rep_id INTEGER,
FOREIGN KEY (support_rep_id) REFERENCES employees (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id
1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE genres
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM genres LIMIT 1;
id ||name
1 ||Rock
*/
CREATE TABLE invoices
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER NOT NULL,
invoice_date TIMESTAMP NOT NULL,
billing_address VARCHAR(70),
billing_city VARCHAR(40),
billing_state VARCHAR(40),
billing_country VARCHAR(40),
billing_postal_code VARCHAR(10),
total NUMERIC(10,2) NOT NULL,
FOREIGN KEY (customer_id) REFERENCES customers (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoices LIMIT 1;
id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total
1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE media_types
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM media_types LIMIT 1;
id || name
1 ||MPEG audio file
*/
CREATE TABLE tracks
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(200) NOT NULL,
album_id INTEGER,
media_type_id INTEGER NOT NULL,
genre_id INTEGER,
composer VARCHAR(220),
milliseconds INTEGER NOT NULL,
bytes INTEGER,
unit_price NUMERIC(10,2) NOT NULL,
FOREIGN KEY (album_id) REFERENCES albums (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (genre_id) REFERENCES genres (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (media_type_id) REFERENCES media_types (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM tracks LIMIT 1;
id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
CREATE TABLE invoice_lines
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
unit_price NUMERIC(10,2) NOT NULL,
quantity INTEGER NOT NULL,
FOREIGN KEY (invoice_id) REFERENCES invoices (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice_lines LIMIT 1;
id ||invoice_id ||track_id ||unit_price ||quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE playlists
(
id INTEGER PRIMARY KEY AUTOINCREMENT,
name VARCHAR(120)
)
/*
1 example row:
SELECT * FROM playlists LIMIT 1;
id || name
1 ||Music
*/
CREATE TABLE playlist_tracks
(
playlist_id INTEGER NOT NULL,
track_id INTEGER NOT NULL,
CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id),
FOREIGN KEY (playlist_id) REFERENCES playlists (id)
ON DELETE NO ACTION ON UPDATE NO ACTION,
FOREIGN KEY (track_id) REFERENCES tracks (id)
ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlist_tracks LIMIT 1;
playlist_id ||track_id
1 || 3402
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "journal" (
"Journal_ID" int,
"Date" text,
"Theme" text,
"Sales" int,
PRIMARY KEY ("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal LIMIT 1;
Journal_ID || Date || Theme ||Sales
1 ||September 9, 2001 ||Miami Dolphins || 798
*/
CREATE TABLE "editor" (
"Editor_ID" int,
"Name" text,
"Age" real,
PRIMARY KEY ("Editor_ID")
)
/*
1 example row:
SELECT * FROM editor LIMIT 1;
Editor_ID || Name || Age
1 ||Kamila Porczyk ||34.0
*/
CREATE TABLE "journal_committee" (
"Editor_ID" int,
"Journal_ID" int,
"Work_Type" text,
PRIMARY KEY ("Editor_ID","Journal_ID"),
FOREIGN KEY ("Editor_ID") REFERENCES `editor`("Editor_ID"),
FOREIGN KEY ("Journal_ID") REFERENCES `journal`("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal_committee LIMIT 1;
Editor_ID ||Journal_ID ||Work_Type
1 || 13 || Photo
*/
### Question
What are the names and ages of editors?
| [query_database(**{'query': 'SELECT Name , Age FROM editor'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "journal" (
"Journal_ID" int,
"Date" text,
"Theme" text,
"Sales" int,
PRIMARY KEY ("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal LIMIT 1;
Journal_ID || Date || Theme ||Sales
1 ||September 9, 2001 ||Miami Dolphins || 798
*/
CREATE TABLE "editor" (
"Editor_ID" int,
"Name" text,
"Age" real,
PRIMARY KEY ("Editor_ID")
)
/*
1 example row:
SELECT * FROM editor LIMIT 1;
Editor_ID || Name || Age
1 ||Kamila Porczyk ||34.0
*/
CREATE TABLE "journal_committee" (
"Editor_ID" int,
"Journal_ID" int,
"Work_Type" text,
PRIMARY KEY ("Editor_ID","Journal_ID"),
FOREIGN KEY ("Editor_ID") REFERENCES `editor`("Editor_ID"),
FOREIGN KEY ("Journal_ID") REFERENCES `journal`("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal_committee LIMIT 1;
Editor_ID ||Journal_ID ||Work_Type
1 || 13 || Photo
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "journal" (
"Journal_ID" int,
"Date" text,
"Theme" text,
"Sales" int,
PRIMARY KEY ("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal LIMIT 1;
Journal_ID || Date || Theme ||Sales
1 ||September 9, 2001 ||Miami Dolphins || 798
*/
CREATE TABLE "editor" (
"Editor_ID" int,
"Name" text,
"Age" real,
PRIMARY KEY ("Editor_ID")
)
/*
1 example row:
SELECT * FROM editor LIMIT 1;
Editor_ID || Name || Age
1 ||Kamila Porczyk ||34.0
*/
CREATE TABLE "journal_committee" (
"Editor_ID" int,
"Journal_ID" int,
"Work_Type" text,
PRIMARY KEY ("Editor_ID","Journal_ID"),
FOREIGN KEY ("Editor_ID") REFERENCES `editor`("Editor_ID"),
FOREIGN KEY ("Journal_ID") REFERENCES `journal`("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal_committee LIMIT 1;
Editor_ID ||Journal_ID ||Work_Type
1 || 13 || Photo
*/
### Question
What is the name of the youngest editor?
| [query_database(**{'query': 'SELECT Name FROM editor ORDER BY Age ASC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "journal" (
"Journal_ID" int,
"Date" text,
"Theme" text,
"Sales" int,
PRIMARY KEY ("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal LIMIT 1;
Journal_ID || Date || Theme ||Sales
1 ||September 9, 2001 ||Miami Dolphins || 798
*/
CREATE TABLE "editor" (
"Editor_ID" int,
"Name" text,
"Age" real,
PRIMARY KEY ("Editor_ID")
)
/*
1 example row:
SELECT * FROM editor LIMIT 1;
Editor_ID || Name || Age
1 ||Kamila Porczyk ||34.0
*/
CREATE TABLE "journal_committee" (
"Editor_ID" int,
"Journal_ID" int,
"Work_Type" text,
PRIMARY KEY ("Editor_ID","Journal_ID"),
FOREIGN KEY ("Editor_ID") REFERENCES `editor`("Editor_ID"),
FOREIGN KEY ("Journal_ID") REFERENCES `journal`("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal_committee LIMIT 1;
Editor_ID ||Journal_ID ||Work_Type
1 || 13 || Photo
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "journal" (
"Journal_ID" int,
"Date" text,
"Theme" text,
"Sales" int,
PRIMARY KEY ("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal LIMIT 1;
Journal_ID || Date || Theme ||Sales
1 ||September 9, 2001 ||Miami Dolphins || 798
*/
CREATE TABLE "editor" (
"Editor_ID" int,
"Name" text,
"Age" real,
PRIMARY KEY ("Editor_ID")
)
/*
1 example row:
SELECT * FROM editor LIMIT 1;
Editor_ID || Name || Age
1 ||Kamila Porczyk ||34.0
*/
CREATE TABLE "journal_committee" (
"Editor_ID" int,
"Journal_ID" int,
"Work_Type" text,
PRIMARY KEY ("Editor_ID","Journal_ID"),
FOREIGN KEY ("Editor_ID") REFERENCES `editor`("Editor_ID"),
FOREIGN KEY ("Journal_ID") REFERENCES `journal`("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal_committee LIMIT 1;
Editor_ID ||Journal_ID ||Work_Type
1 || 13 || Photo
*/
### Question
Show the distinct themes of journals.
| [query_database(**{'query': 'SELECT DISTINCT Theme FROM journal'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "journal" (
"Journal_ID" int,
"Date" text,
"Theme" text,
"Sales" int,
PRIMARY KEY ("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal LIMIT 1;
Journal_ID || Date || Theme ||Sales
1 ||September 9, 2001 ||Miami Dolphins || 798
*/
CREATE TABLE "editor" (
"Editor_ID" int,
"Name" text,
"Age" real,
PRIMARY KEY ("Editor_ID")
)
/*
1 example row:
SELECT * FROM editor LIMIT 1;
Editor_ID || Name || Age
1 ||Kamila Porczyk ||34.0
*/
CREATE TABLE "journal_committee" (
"Editor_ID" int,
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PRIMARY KEY ("Editor_ID","Journal_ID"),
FOREIGN KEY ("Editor_ID") REFERENCES `editor`("Editor_ID"),
FOREIGN KEY ("Journal_ID") REFERENCES `journal`("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal_committee LIMIT 1;
Editor_ID ||Journal_ID ||Work_Type
1 || 13 || Photo
*/
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| Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "journal" (
"Journal_ID" int,
"Date" text,
"Theme" text,
"Sales" int,
PRIMARY KEY ("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal LIMIT 1;
Journal_ID || Date || Theme ||Sales
1 ||September 9, 2001 ||Miami Dolphins || 798
*/
CREATE TABLE "editor" (
"Editor_ID" int,
"Name" text,
"Age" real,
PRIMARY KEY ("Editor_ID")
)
/*
1 example row:
SELECT * FROM editor LIMIT 1;
Editor_ID || Name || Age
1 ||Kamila Porczyk ||34.0
*/
CREATE TABLE "journal_committee" (
"Editor_ID" int,
"Journal_ID" int,
"Work_Type" text,
PRIMARY KEY ("Editor_ID","Journal_ID"),
FOREIGN KEY ("Editor_ID") REFERENCES `editor`("Editor_ID"),
FOREIGN KEY ("Journal_ID") REFERENCES `journal`("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal_committee LIMIT 1;
Editor_ID ||Journal_ID ||Work_Type
1 || 13 || Photo
*/
### Question
Show the names of editors that are on the committee of journals with sales bigger than 3000.
| [query_database(**{'query': 'SELECT T2.Name FROM journal_committee AS T1 JOIN editor AS T2 ON T1.Editor_ID = T2.Editor_ID JOIN journal AS T3 ON T1.Journal_ID = T3.Journal_ID WHERE T3.Sales > 3000'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "journal" (
"Journal_ID" int,
"Date" text,
"Theme" text,
"Sales" int,
PRIMARY KEY ("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal LIMIT 1;
Journal_ID || Date || Theme ||Sales
1 ||September 9, 2001 ||Miami Dolphins || 798
*/
CREATE TABLE "editor" (
"Editor_ID" int,
"Name" text,
"Age" real,
PRIMARY KEY ("Editor_ID")
)
/*
1 example row:
SELECT * FROM editor LIMIT 1;
Editor_ID || Name || Age
1 ||Kamila Porczyk ||34.0
*/
CREATE TABLE "journal_committee" (
"Editor_ID" int,
"Journal_ID" int,
"Work_Type" text,
PRIMARY KEY ("Editor_ID","Journal_ID"),
FOREIGN KEY ("Editor_ID") REFERENCES `editor`("Editor_ID"),
FOREIGN KEY ("Journal_ID") REFERENCES `journal`("Journal_ID")
)
/*
1 example row:
SELECT * FROM journal_committee LIMIT 1;
Editor_ID ||Journal_ID ||Work_Type
1 || 13 || Photo
*/
|
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