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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© 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-StraΓe 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 are 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 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© 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-StraΓe 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
List the names of editors who are older than 25.
| [query_database(**{'query': 'SELECT Name FROM editor WHERE Age > 25'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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
Please show the most common age of editors.
| [query_database(**{'query': 'SELECT Age FROM editor GROUP BY Age 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 "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,
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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 and ages of editors and the theme of journals for which they serve on committees, in ascending alphabetical order of theme.
| [query_database(**{'query': 'SELECT T2.Name , T2.age , T3.Theme 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 ORDER BY T3.Theme ASC'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "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
List the names of editors that are not on any journal committee.
| [query_database(**{'query': 'SELECT Name FROM editor WHERE editor_id NOT IN (SELECT editor_id FROM journal_committee)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your 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 `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
Count the number of accounts.
| [query_database(**{'query': 'SELECT count(*) FROM Accounts'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
Show other account details for account with name 338.
| [query_database(**{'query': 'SELECT other_account_details FROM Accounts WHERE account_name = "338"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
How many accounts does the customer with first name Art and last name Turcotte have?
| [query_database(**{'query': 'SELECT count(*) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Art" AND T2.customer_last_name = "Turcotte"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
Show the customer id and number of accounts with most accounts.
| [query_database(**{'query': 'SELECT customer_id , count(*) FROM Accounts GROUP BY customer_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 `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
Show the number of all customers without an account.
| [query_database(**{'query': 'SELECT count(*) FROM Customers WHERE customer_id NOT IN (SELECT customer_id FROM Accounts)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
Show distinct first and last names for all customers with an account.
| [query_database(**{'query': 'SELECT DISTINCT T1.customer_first_name , T1.customer_last_name FROM Customers AS T1 JOIN Accounts AS T2 ON T1.customer_id = T2.customer_id'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
How many customers do we have?
| [query_database(**{'query': 'SELECT count(*) FROM Customers'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
What is the phone and email for customer with first name Aniyah and last name Feest?
| [query_database(**{'query': 'SELECT customer_phone , customer_email FROM Customers WHERE customer_first_name = "Aniyah" AND customer_last_name = "Feest"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
Show ids, customer ids, card type codes, card numbers for all cards.
| [query_database(**{'query': 'SELECT card_id , customer_id , card_type_code , card_number FROM Customers_cards'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
What is the first name, last name, and phone of the customer with card 4560596484842.
| [query_database(**{'query': 'SELECT T2.customer_first_name , T2.customer_last_name , T2.customer_phone FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.card_number = "4560596484842"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
How many debit cards do we have?
| [query_database(**{'query': 'SELECT count(*) FROM Customers_cards WHERE card_type_code = "Debit"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
Show all customer ids and the number of cards owned by each customer.
| [query_database(**{'query': 'SELECT customer_id , count(*) FROM Customers_cards GROUP BY customer_id'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
Show id, first and last names for all customers with at least two cards.
| [query_database(**{'query': 'SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 2'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
Show all card type codes and the number of cards in each type.
| [query_database(**{'query': 'SELECT card_type_code , count(*) FROM Customers_cards GROUP BY card_type_code'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
What are the codes of card types that have 5 or more cards?
| [query_database(**{'query': 'SELECT card_type_code FROM Customers_cards GROUP BY card_type_code HAVING count(*) >= 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 `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
What are the ids and first names of customers who do not hold a credit card?
| [query_database(**{'query': 'SELECT customer_id , customer_first_name FROM Customers EXCEPT SELECT T1.customer_id , T2.customer_first_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE card_type_code = "Credit"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
|
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
How many different card types are there?
| [query_database(**{'query': 'SELECT count(DISTINCT card_type_code) FROM Customers_Cards'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
How many different types of transactions are there?
| [query_database(**{'query': 'SELECT count(DISTINCT transaction_type) FROM Financial_Transactions'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
What are the different card types, and how many transactions have been made with each?
| [query_database(**{'query': 'SELECT T2.card_type_code , count(*) FROM Financial_transactions AS T1 JOIN Customers_cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
### Question
Return the type of transaction with the highest total amount.
| [query_database(**{'query': 'SELECT transaction_type FROM Financial_transactions GROUP BY transaction_type ORDER BY sum(transaction_amount) 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 `Accounts` (
`account_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`account_name` VARCHAR(50),
`other_account_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
account_id ||customer_id ||account_name ||other_account_details
1 || 6 || 338 || Regular
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`customer_first_name` VARCHAR(20),
`customer_last_name` VARCHAR(20),
`customer_address` VARCHAR(255),
`customer_phone` VARCHAR(255),
`customer_email` VARCHAR(255),
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||customer_first_name ||customer_last_name || customer_address ||customer_phone || customer_email ||other_customer_details
1 || Aniyah || Feest ||55975 Theodore Estates
Lake Brody, VT 57078 || (673)872-5338 ||[email protected] || None
*/
CREATE TABLE `Customers_Cards` (
`card_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`card_type_code` VARCHAR(15) NOT NULL,
`card_number` VARCHAR(80),
`date_valid_from` DATETIME,
`date_valid_to` DATETIME,
`other_card_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers_cards LIMIT 1;
card_id ||customer_id ||card_type_code || card_number || date_valid_from || date_valid_to ||other_card_details
1 || 14 || Credit ||4560596484842 ||2011-04-17 09:05:28 ||2018-03-07 17:06:19 || 5567915676420343
*/
CREATE TABLE `Financial_Transactions` (
`transaction_id` INTEGER NOT NULL ,
`previous_transaction_id` INTEGER,
`account_id` INTEGER NOT NULL,
`card_id` INTEGER NOT NULL,
`transaction_type` VARCHAR(15) NOT NULL,
`transaction_date` DATETIME,
`transaction_amount` DOUBLE NULL,
`transaction_comment` VARCHAR(255),
`other_transaction_details` VARCHAR(255),
FOREIGN KEY (`card_id` ) REFERENCES `Customers_Cards`(`card_id` ),
FOREIGN KEY (`account_id` ) REFERENCES `Accounts`(`account_id` )
)
/*
1 example row:
SELECT * FROM financial_transactions LIMIT 1;
transaction_id ||previous_transaction_id ||account_id ||card_id ||transaction_type || transaction_date ||transaction_amount ||transaction_comment ||other_transaction_details
1 || 925 || 15 || 1 || Payment ||2018-03-24 06:41:41 || 1701.23 || None || None
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
### Question
Count the number of tracks.
| [query_database(**{'query': 'SELECT count(*) FROM track'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
### Question
What are the names and seatings for all tracks opened after 2000, ordered by seating?
| [query_database(**{'query': 'SELECT name , seating FROM track WHERE year_opened > 2000 ORDER BY seating'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
### Question
What is the minimum, maximum, and average seating for all tracks.
| [query_database(**{'query': 'SELECT min(seating) , max(seating) , avg(seating) FROM track'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
### Question
What are the names, locations, and years of opening for tracks with seating higher than average?
| [query_database(**{'query': 'SELECT name , LOCATION , year_opened FROM track WHERE seating > (SELECT avg(seating) FROM track)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
### Question
What are the distinct classes that races can have?
| [query_database(**{'query': 'SELECT DISTINCT CLASS FROM race'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
### Question
Show the race class and number of races in each class.
| [query_database(**{'query': 'SELECT CLASS , count(*) FROM race GROUP BY CLASS'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
### Question
List the race class with at least two races.
| [query_database(**{'query': 'SELECT CLASS FROM race GROUP BY CLASS 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 "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
### Question
Give the names of tracks that do not have a race in the class 'GT'.
| [query_database(**{'query': 'SELECT name FROM track EXCEPT SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id WHERE T1.class = 'GT''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
### Question
Show the name of track and the number of races in each track.
| [query_database(**{'query': 'SELECT T2.name , count(*) FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
### Question
What is the name of the track that has had the greatest number of races?
| [query_database(**{'query': 'SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_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 "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
### Question
What are the names and locations of tracks that have had exactly 1 race?
| [query_database(**{'query': 'SELECT T2.name , T2.location FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id HAVING count(*) = 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "race" (
"Race_ID" int,
"Name" text,
"Class" text,
"Date" text,
"Track_ID" text,
PRIMARY KEY ("Race_ID"),
FOREIGN KEY ("Track_ID") REFERENCES "track"("Track_ID")
)
/*
1 example row:
SELECT * FROM race LIMIT 1;
Race_ID || Name ||Class || Date ||Track_ID
1 ||Rolex 24 At Daytona ||DP/GT ||January 26 January 27 || 1
*/
CREATE TABLE "track" (
"Track_ID" int,
"Name" text,
"Location" text,
"Seating" real,
"Year_Opened" real,
PRIMARY KEY ("Track_ID")
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
Track_ID || Name || Location ||Seating ||Year_Opened
1 ||Auto Club Speedway ||Fontana, CA ||92000.0 || 1997.0
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "shop" (
"Shop_ID" int,
"Address" text,
"Num_of_staff" text,
"Score" real,
"Open_Year" text,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Address ||Num_of_staff ||Score ||Open_Year
1 ||1200 Main Street || 13 || 42.0 || 2010
*/
CREATE TABLE "member" (
"Member_ID" int,
"Name" text,
"Membership_card" text,
"Age" int,
"Time_of_purchase" int,
"Level_of_membership" int,
"Address" text,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID || Name ||Membership_card ||Age ||Time_of_purchase ||Level_of_membership || Address
1 ||Ashby, Lazale || Black || 29 || 18 || 5 ||Hartford
*/
CREATE TABLE "happy_hour" (
"HH_ID" int,
"Shop_ID" int,
"Month" text,
"Num_of_shaff_in_charge" int,
PRIMARY KEY ("HH_ID","Shop_ID","Month"),
FOREIGN KEY ("Shop_ID") REFERENCES `shop`("Shop_ID")
)
/*
1 example row:
SELECT * FROM happy_hour LIMIT 1;
HH_ID ||Shop_ID ||Month ||Num_of_shaff_in_charge
1 || 1 || May || 10
*/
CREATE TABLE "happy_hour_member" (
"HH_ID" int,
"Member_ID" int,
"Total_amount" real,
PRIMARY KEY ("HH_ID","Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES `member`("Member_ID")
)
/*
1 example row:
SELECT * FROM happy_hour_member LIMIT 1;
HH_ID ||Member_ID ||Total_amount
1 || 3 || 20.9
*/
### Question
Find the number of members living in each address.
| [query_database(**{'query': 'SELECT count(*) , address FROM member GROUP BY address'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "shop" (
"Shop_ID" int,
"Address" text,
"Num_of_staff" text,
"Score" real,
"Open_Year" text,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Address ||Num_of_staff ||Score ||Open_Year
1 ||1200 Main Street || 13 || 42.0 || 2010
*/
CREATE TABLE "member" (
"Member_ID" int,
"Name" text,
"Membership_card" text,
"Age" int,
"Time_of_purchase" int,
"Level_of_membership" int,
"Address" text,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID || Name ||Membership_card ||Age ||Time_of_purchase ||Level_of_membership || Address
1 ||Ashby, Lazale || Black || 29 || 18 || 5 ||Hartford
*/
CREATE TABLE "happy_hour" (
"HH_ID" int,
"Shop_ID" int,
"Month" text,
"Num_of_shaff_in_charge" int,
PRIMARY KEY ("HH_ID","Shop_ID","Month"),
FOREIGN KEY ("Shop_ID") REFERENCES `shop`("Shop_ID")
)
/*
1 example row:
SELECT * FROM happy_hour LIMIT 1;
HH_ID ||Shop_ID ||Month ||Num_of_shaff_in_charge
1 || 1 || May || 10
*/
CREATE TABLE "happy_hour_member" (
"HH_ID" int,
"Member_ID" int,
"Total_amount" real,
PRIMARY KEY ("HH_ID","Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES `member`("Member_ID")
)
/*
1 example row:
SELECT * FROM happy_hour_member LIMIT 1;
HH_ID ||Member_ID ||Total_amount
1 || 3 || 20.9
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "shop" (
"Shop_ID" int,
"Address" text,
"Num_of_staff" text,
"Score" real,
"Open_Year" text,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Address ||Num_of_staff ||Score ||Open_Year
1 ||1200 Main Street || 13 || 42.0 || 2010
*/
CREATE TABLE "member" (
"Member_ID" int,
"Name" text,
"Membership_card" text,
"Age" int,
"Time_of_purchase" int,
"Level_of_membership" int,
"Address" text,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID || Name ||Membership_card ||Age ||Time_of_purchase ||Level_of_membership || Address
1 ||Ashby, Lazale || Black || 29 || 18 || 5 ||Hartford
*/
CREATE TABLE "happy_hour" (
"HH_ID" int,
"Shop_ID" int,
"Month" text,
"Num_of_shaff_in_charge" int,
PRIMARY KEY ("HH_ID","Shop_ID","Month"),
FOREIGN KEY ("Shop_ID") REFERENCES `shop`("Shop_ID")
)
/*
1 example row:
SELECT * FROM happy_hour LIMIT 1;
HH_ID ||Shop_ID ||Month ||Num_of_shaff_in_charge
1 || 1 || May || 10
*/
CREATE TABLE "happy_hour_member" (
"HH_ID" int,
"Member_ID" int,
"Total_amount" real,
PRIMARY KEY ("HH_ID","Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES `member`("Member_ID")
)
/*
1 example row:
SELECT * FROM happy_hour_member LIMIT 1;
HH_ID ||Member_ID ||Total_amount
1 || 3 || 20.9
*/
### Question
Find the purchase time, age and address of each member, and show the results in the order of purchase time.
| [query_database(**{'query': 'SELECT Time_of_purchase , age , address FROM member ORDER BY Time_of_purchase'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "shop" (
"Shop_ID" int,
"Address" text,
"Num_of_staff" text,
"Score" real,
"Open_Year" text,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Address ||Num_of_staff ||Score ||Open_Year
1 ||1200 Main Street || 13 || 42.0 || 2010
*/
CREATE TABLE "member" (
"Member_ID" int,
"Name" text,
"Membership_card" text,
"Age" int,
"Time_of_purchase" int,
"Level_of_membership" int,
"Address" text,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID || Name ||Membership_card ||Age ||Time_of_purchase ||Level_of_membership || Address
1 ||Ashby, Lazale || Black || 29 || 18 || 5 ||Hartford
*/
CREATE TABLE "happy_hour" (
"HH_ID" int,
"Shop_ID" int,
"Month" text,
"Num_of_shaff_in_charge" int,
PRIMARY KEY ("HH_ID","Shop_ID","Month"),
FOREIGN KEY ("Shop_ID") REFERENCES `shop`("Shop_ID")
)
/*
1 example row:
SELECT * FROM happy_hour LIMIT 1;
HH_ID ||Shop_ID ||Month ||Num_of_shaff_in_charge
1 || 1 || May || 10
*/
CREATE TABLE "happy_hour_member" (
"HH_ID" int,
"Member_ID" int,
"Total_amount" real,
PRIMARY KEY ("HH_ID","Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES `member`("Member_ID")
)
/*
1 example row:
SELECT * FROM happy_hour_member LIMIT 1;
HH_ID ||Member_ID ||Total_amount
1 || 3 || 20.9
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "shop" (
"Shop_ID" int,
"Address" text,
"Num_of_staff" text,
"Score" real,
"Open_Year" text,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Address ||Num_of_staff ||Score ||Open_Year
1 ||1200 Main Street || 13 || 42.0 || 2010
*/
CREATE TABLE "member" (
"Member_ID" int,
"Name" text,
"Membership_card" text,
"Age" int,
"Time_of_purchase" int,
"Level_of_membership" int,
"Address" text,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID || Name ||Membership_card ||Age ||Time_of_purchase ||Level_of_membership || Address
1 ||Ashby, Lazale || Black || 29 || 18 || 5 ||Hartford
*/
CREATE TABLE "happy_hour" (
"HH_ID" int,
"Shop_ID" int,
"Month" text,
"Num_of_shaff_in_charge" int,
PRIMARY KEY ("HH_ID","Shop_ID","Month"),
FOREIGN KEY ("Shop_ID") REFERENCES `shop`("Shop_ID")
)
/*
1 example row:
SELECT * FROM happy_hour LIMIT 1;
HH_ID ||Shop_ID ||Month ||Num_of_shaff_in_charge
1 || 1 || May || 10
*/
CREATE TABLE "happy_hour_member" (
"HH_ID" int,
"Member_ID" int,
"Total_amount" real,
PRIMARY KEY ("HH_ID","Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES `member`("Member_ID")
)
/*
1 example row:
SELECT * FROM happy_hour_member LIMIT 1;
HH_ID ||Member_ID ||Total_amount
1 || 3 || 20.9
*/
### Question
Which address do not have any member with the black membership card?
| [query_database(**{'query': 'SELECT address FROM member EXCEPT SELECT address FROM member WHERE Membership_card = 'Black''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "shop" (
"Shop_ID" int,
"Address" text,
"Num_of_staff" text,
"Score" real,
"Open_Year" text,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Address ||Num_of_staff ||Score ||Open_Year
1 ||1200 Main Street || 13 || 42.0 || 2010
*/
CREATE TABLE "member" (
"Member_ID" int,
"Name" text,
"Membership_card" text,
"Age" int,
"Time_of_purchase" int,
"Level_of_membership" int,
"Address" text,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID || Name ||Membership_card ||Age ||Time_of_purchase ||Level_of_membership || Address
1 ||Ashby, Lazale || Black || 29 || 18 || 5 ||Hartford
*/
CREATE TABLE "happy_hour" (
"HH_ID" int,
"Shop_ID" int,
"Month" text,
"Num_of_shaff_in_charge" int,
PRIMARY KEY ("HH_ID","Shop_ID","Month"),
FOREIGN KEY ("Shop_ID") REFERENCES `shop`("Shop_ID")
)
/*
1 example row:
SELECT * FROM happy_hour LIMIT 1;
HH_ID ||Shop_ID ||Month ||Num_of_shaff_in_charge
1 || 1 || May || 10
*/
CREATE TABLE "happy_hour_member" (
"HH_ID" int,
"Member_ID" int,
"Total_amount" real,
PRIMARY KEY ("HH_ID","Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES `member`("Member_ID")
)
/*
1 example row:
SELECT * FROM happy_hour_member LIMIT 1;
HH_ID ||Member_ID ||Total_amount
1 || 3 || 20.9
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "shop" (
"Shop_ID" int,
"Address" text,
"Num_of_staff" text,
"Score" real,
"Open_Year" text,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Address ||Num_of_staff ||Score ||Open_Year
1 ||1200 Main Street || 13 || 42.0 || 2010
*/
CREATE TABLE "member" (
"Member_ID" int,
"Name" text,
"Membership_card" text,
"Age" int,
"Time_of_purchase" int,
"Level_of_membership" int,
"Address" text,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID || Name ||Membership_card ||Age ||Time_of_purchase ||Level_of_membership || Address
1 ||Ashby, Lazale || Black || 29 || 18 || 5 ||Hartford
*/
CREATE TABLE "happy_hour" (
"HH_ID" int,
"Shop_ID" int,
"Month" text,
"Num_of_shaff_in_charge" int,
PRIMARY KEY ("HH_ID","Shop_ID","Month"),
FOREIGN KEY ("Shop_ID") REFERENCES `shop`("Shop_ID")
)
/*
1 example row:
SELECT * FROM happy_hour LIMIT 1;
HH_ID ||Shop_ID ||Month ||Num_of_shaff_in_charge
1 || 1 || May || 10
*/
CREATE TABLE "happy_hour_member" (
"HH_ID" int,
"Member_ID" int,
"Total_amount" real,
PRIMARY KEY ("HH_ID","Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES `member`("Member_ID")
)
/*
1 example row:
SELECT * FROM happy_hour_member LIMIT 1;
HH_ID ||Member_ID ||Total_amount
1 || 3 || 20.9
*/
### Question
What are the id and address of the shops which have a happy hour in May?
| [query_database(**{'query': 'SELECT t1.address , t1.shop_id FROM shop AS t1 JOIN happy_hour AS t2 ON t1.shop_id = t2.shop_id WHERE MONTH = 'May''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "shop" (
"Shop_ID" int,
"Address" text,
"Num_of_staff" text,
"Score" real,
"Open_Year" text,
PRIMARY KEY ("Shop_ID")
)
/*
1 example row:
SELECT * FROM shop LIMIT 1;
Shop_ID || Address ||Num_of_staff ||Score ||Open_Year
1 ||1200 Main Street || 13 || 42.0 || 2010
*/
CREATE TABLE "member" (
"Member_ID" int,
"Name" text,
"Membership_card" text,
"Age" int,
"Time_of_purchase" int,
"Level_of_membership" int,
"Address" text,
PRIMARY KEY ("Member_ID")
)
/*
1 example row:
SELECT * FROM member LIMIT 1;
Member_ID || Name ||Membership_card ||Age ||Time_of_purchase ||Level_of_membership || Address
1 ||Ashby, Lazale || Black || 29 || 18 || 5 ||Hartford
*/
CREATE TABLE "happy_hour" (
"HH_ID" int,
"Shop_ID" int,
"Month" text,
"Num_of_shaff_in_charge" int,
PRIMARY KEY ("HH_ID","Shop_ID","Month"),
FOREIGN KEY ("Shop_ID") REFERENCES `shop`("Shop_ID")
)
/*
1 example row:
SELECT * FROM happy_hour LIMIT 1;
HH_ID ||Shop_ID ||Month ||Num_of_shaff_in_charge
1 || 1 || May || 10
*/
CREATE TABLE "happy_hour_member" (
"HH_ID" int,
"Member_ID" int,
"Total_amount" real,
PRIMARY KEY ("HH_ID","Member_ID"),
FOREIGN KEY ("Member_ID") REFERENCES `member`("Member_ID")
)
/*
1 example row:
SELECT * FROM happy_hour_member LIMIT 1;
HH_ID ||Member_ID ||Total_amount
1 || 3 || 20.9
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
How many albums are there?
| [query_database(**{'query': 'SELECT count(*) FROM ALBUM'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
What is all the customer information for customers in NY state?
| [query_database(**{'query': 'SELECT * FROM CUSTOMER WHERE State = "NY"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
Find the different billing countries for all invoices.
| [query_database(**{'query': 'SELECT distinct(BillingCountry) FROM INVOICE'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
What are the titles of albums by the artist "AC/DC"?
| [query_database(**{'query': 'SELECT Title FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistId WHERE T2.Name = "AC/DC"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
Find the name of the artist who made the album "Balls to the Wall".
| [query_database(**{'query': 'SELECT T2.Name FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistId 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 `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
What are the names of tracks that contain the the word you in them?
| [query_database(**{'query': 'SELECT Name FROM TRACK WHERE Name LIKE '%you%''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
Find the maximum and minimum durations of tracks in milliseconds.
| [query_database(**{'query': 'SELECT max(Milliseconds) , min(Milliseconds) FROM TRACK'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
Find the name of the genre that is most frequent across all tracks.
| [query_database(**{'query': 'SELECT T1.Name FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId GROUP BY T2.GenreId 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 `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
What are the titles and ids for albums containing tracks with unit price greater than 1?
| [query_database(**{'query': 'SELECT T1.Title , T2.AlbumID FROM ALBUM AS T1 JOIN TRACK AS T2 ON T1.AlbumId = T2.AlbumId WHERE T2.UnitPrice > 1 GROUP BY T2.AlbumID'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
Find the average unit price of jazz tracks.
| [query_database(**{'query': 'SELECT AVG(UnitPrice) FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId WHERE T1.Name = "Jazz"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
Count the number of customers that have an email containing "gmail.com".
| [query_database(**{'query': 'SELECT COUNT(*) FROM CUSTOMER WHERE Email LIKE "%gmail.com%"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
Find the cities corresponding to employees who help customers with the postal code 70174.
| [query_database(**{'query': 'SELECT T2.City FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId WHERE T1.PostalCode = "70174"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
What are the invoice dates for customers with the first name Astrid and the last name Gruber?
| [query_database(**{'query': 'SELECT T2.InvoiceDate FROM CUSTOMER AS T1 JOIN INVOICE AS T2 ON T1.CustomerId = T2.CustomerId WHERE T1.FirstName = "Astrid" AND LastName = "Gruber"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
What are the different first names for customers from Brazil who have also had an invoice?
| [query_database(**{'query': 'SELECT DISTINCT T1.FirstName FROM CUSTOMER AS T1 JOIN INVOICE AS T2 ON T1.CustomerId = T2.CustomerId WHERE T1.country = "Brazil"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
What are the phone numbers for each employee?
| [query_database(**{'query': 'SELECT Phone FROM EMPLOYEE'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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5525,
60,
128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
Find the average millisecond length of Latin and Pop tracks.
| [query_database(**{'query': 'SELECT AVG(Milliseconds) FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId WHERE T1.Name = "Latin" OR T1.Name = "Pop"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
What are the last names of employees who serve at most 20 customers?
| [query_database(**{'query': 'SELECT T1.LastName FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId GROUP BY T1.SupportRepId HAVING COUNT(*) <= 20'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
Find the names of artists that do not have any albums.
| [query_database(**{'query': 'SELECT Name FROM ARTIST EXCEPT SELECT T2.Name FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistId'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
Find the maximum and minimum millisecond lengths of pop tracks.
| [query_database(**{'query': 'SELECT max(Milliseconds) , min(Milliseconds) FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId WHERE T1.Name = "Pop"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
Find the distinct unit prices for tracks.
| [query_database(**{'query': 'SELECT distinct(UnitPrice) FROM TRACK'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
### Question
Find the titles of albums that contain tracks of both the Reggae and Rock genres.
| [query_database(**{'query': 'SELECT T1.Title FROM Album AS T1 JOIN Track AS T2 ON T1.AlbumId = T2.AlbumId JOIN Genre AS T3 ON T2.GenreID = T3.GenreID WHERE T3.Name = 'Reggae' INTERSECT SELECT T1.Title FROM Album AS T1 JOIN Track AS T2 ON T1.AlbumId = T2.AlbumId JOIN Genre AS T3 ON T2.GenreID = T3.GenreID WHERE T3.Name = 'Rock''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Album` (
`AlbumId` integer NOT NULL
, `Title` varchar(160) NOT NULL
, `ArtistId` integer NOT NULL
, PRIMARY KEY (`AlbumId`)
, CONSTRAINT `FK_AlbumArtistId` FOREIGN KEY (`ArtistId`) REFERENCES `Artist` (`ArtistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM album LIMIT 1;
AlbumId || Title ||ArtistId
1 ||For Those About To Rock We Salute You || 1
*/
CREATE TABLE `Artist` (
`ArtistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`ArtistId`)
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
ArtistId || Name
1 ||AC/DC
*/
CREATE TABLE `Customer` (
`CustomerId` integer NOT NULL
, `FirstName` varchar(40) NOT NULL
, `LastName` varchar(20) NOT NULL
, `Company` varchar(80) DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) NOT NULL
, `SupportRepId` integer DEFAULT NULL
, PRIMARY KEY (`CustomerId`)
, CONSTRAINT `FK_CustomerSupportRepId` FOREIGN KEY (`SupportRepId`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
CustomerId ||FirstName || LastName || Company || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email ||SupportRepId
1 || LuΓs ||GonΓ§alves ||Embraer - Empresa Brasileira de AeronΓ‘utica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||SΓ£o JosΓ© dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3
*/
CREATE TABLE `Employee` (
`EmployeeId` integer NOT NULL
, `LastName` varchar(20) NOT NULL
, `FirstName` varchar(20) NOT NULL
, `Title` varchar(30) DEFAULT NULL
, `ReportsTo` integer DEFAULT NULL
, `BirthDate` datetime DEFAULT NULL
, `HireDate` datetime DEFAULT NULL
, `Address` varchar(70) DEFAULT NULL
, `City` varchar(40) DEFAULT NULL
, `State` varchar(40) DEFAULT NULL
, `Country` varchar(40) DEFAULT NULL
, `PostalCode` varchar(10) DEFAULT NULL
, `Phone` varchar(24) DEFAULT NULL
, `Fax` varchar(24) DEFAULT NULL
, `Email` varchar(60) DEFAULT NULL
, PRIMARY KEY (`EmployeeId`)
, CONSTRAINT `FK_EmployeeReportsTo` FOREIGN KEY (`ReportsTo`) REFERENCES `Employee` (`EmployeeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
EmployeeId ||LastName ||FirstName || Title ||ReportsTo || BirthDate || HireDate || Address || City ||State ||Country ||PostalCode || Phone || Fax || Email
1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected]
*/
CREATE TABLE `Genre` (
`GenreId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`GenreId`)
)
/*
1 example row:
SELECT * FROM genre LIMIT 1;
GenreId ||Name
1 ||Rock
*/
CREATE TABLE `Invoice` (
`InvoiceId` integer NOT NULL
, `CustomerId` integer NOT NULL
, `InvoiceDate` datetime NOT NULL
, `BillingAddress` varchar(70) DEFAULT NULL
, `BillingCity` varchar(40) DEFAULT NULL
, `BillingState` varchar(40) DEFAULT NULL
, `BillingCountry` varchar(40) DEFAULT NULL
, `BillingPostalCode` varchar(10) DEFAULT NULL
, `Total` decimal(10,2) NOT NULL
, PRIMARY KEY (`InvoiceId`)
, CONSTRAINT `FK_InvoiceCustomerId` FOREIGN KEY (`CustomerId`) REFERENCES `Customer` (`CustomerId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoice LIMIT 1;
InvoiceId ||CustomerId || InvoiceDate || BillingAddress ||BillingCity ||BillingState ||BillingCountry ||BillingPostalCode ||Total
1 || 2 ||2009-01-01 00:00:00 ||Theodor-Heuss-StraΓe 34 || Stuttgart || None || Germany || 70174 || 1.98
*/
CREATE TABLE `InvoiceLine` (
`InvoiceLineId` integer NOT NULL
, `InvoiceId` integer NOT NULL
, `TrackId` integer NOT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, `Quantity` integer NOT NULL
, PRIMARY KEY (`InvoiceLineId`)
, CONSTRAINT `FK_InvoiceLineInvoiceId` FOREIGN KEY (`InvoiceId`) REFERENCES `Invoice` (`InvoiceId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_InvoiceLineTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM invoiceline LIMIT 1;
InvoiceLineId ||InvoiceId ||TrackId ||UnitPrice ||Quantity
1 || 1 || 2 || 0.99 || 1
*/
CREATE TABLE `MediaType` (
`MediaTypeId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`MediaTypeId`)
)
/*
1 example row:
SELECT * FROM mediatype LIMIT 1;
MediaTypeId || Name
1 ||MPEG audio file
*/
CREATE TABLE `Playlist` (
`PlaylistId` integer NOT NULL
, `Name` varchar(120) DEFAULT NULL
, PRIMARY KEY (`PlaylistId`)
)
/*
1 example row:
SELECT * FROM playlist LIMIT 1;
PlaylistId || Name
1 ||Music
*/
CREATE TABLE `PlaylistTrack` (
`PlaylistId` integer NOT NULL
, `TrackId` integer NOT NULL
, PRIMARY KEY (`PlaylistId`,`TrackId`)
, CONSTRAINT `FK_PlaylistTrackPlaylistId` FOREIGN KEY (`PlaylistId`) REFERENCES `Playlist` (`PlaylistId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_PlaylistTrackTrackId` FOREIGN KEY (`TrackId`) REFERENCES `Track` (`TrackId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM playlisttrack LIMIT 1;
PlaylistId ||TrackId
1 || 1
*/
CREATE TABLE `Track` (
`TrackId` integer NOT NULL
, `Name` varchar(200) NOT NULL
, `AlbumId` integer DEFAULT NULL
, `MediaTypeId` integer NOT NULL
, `GenreId` integer DEFAULT NULL
, `Composer` varchar(220) DEFAULT NULL
, `Milliseconds` integer NOT NULL
, `Bytes` integer DEFAULT NULL
, `UnitPrice` decimal(10,2) NOT NULL
, PRIMARY KEY (`TrackId`)
, CONSTRAINT `FK_TrackAlbumId` FOREIGN KEY (`AlbumId`) REFERENCES `Album` (`AlbumId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackGenreId` FOREIGN KEY (`GenreId`) REFERENCES `Genre` (`GenreId`) ON DELETE NO ACTION ON UPDATE NO ACTION
, CONSTRAINT `FK_TrackMediaTypeId` FOREIGN KEY (`MediaTypeId`) REFERENCES `MediaType` (`MediaTypeId`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
/*
1 example row:
SELECT * FROM track LIMIT 1;
TrackId || Name ||AlbumId ||MediaTypeId ||GenreId || Composer ||Milliseconds || Bytes ||UnitPrice
1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
### Question
What are the phone numbers of customers using the policy with the code "Life Insurance"?
| [query_database(**{'query': 'SELECT customer_phone FROM available_policies WHERE policy_type_code = "Life Insurance"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
### Question
Find the phone numbers of customers using the most common policy type among the available policies.
| [query_database(**{'query': 'SELECT customer_phone FROM available_policies WHERE policy_type_code = (SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
### Question
Return the sum and average of all settlement amounts.
| [query_database(**{'query': 'SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
### Question
Find the claim that has the largest total settlement amount. Return the effective date of the claim.
| [query_database(**{'query': 'SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
### Question
Which customer uses the most policies? Give me the customer name.
| [query_database(**{'query': 'SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
### Question
List all the policy types used by the customer enrolled in the most policies.
| [query_database(**{'query': 'SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
### Question
Count the total number of available services.
| [query_database(**{'query': 'SELECT count(*) FROM services'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
### Question
Which customers have used the service named "Close a policy" or "Upgrade a policy"? Give me the customer names.
| [query_database(**{'query': 'SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" OR t3.service_name = "Upgrade a policy"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
### Question
What are the IDs of customers who have "Diana" in part of their names?
| [query_database(**{'query': 'SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
### Question
What is the ordered list of customer ids?
| [query_database(**{'query': 'SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
Customer_ID || Customer_name
194 ||America Jaskolski
*/
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
Service_ID || Service_name
1 ||New policy application
*/
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
/*
1 example row:
SELECT * FROM available_policies LIMIT 1;
Policy_ID ||policy_type_code || Customer_Phone
246 || Life Insurance ||+16(2)5838999222
*/
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
/*
1 example row:
SELECT * FROM customers_policies LIMIT 1;
Customer_ID ||Policy_ID ||Date_Opened ||Date_Closed
214 || 257 || 2016-11-19 || 2018-03-04
*/
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
/*
1 example row:
SELECT * FROM first_notification_of_loss LIMIT 1;
FNOL_ID ||Customer_ID ||Policy_ID ||Service_ID
532 || 214 || 257 || 6
*/
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
/*
1 example row:
SELECT * FROM claims LIMIT 1;
Claim_ID ||FNOL_ID ||Effective_Date
134 || 1722 || 1973-08-18
*/
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
/*
1 example row:
SELECT * FROM settlements LIMIT 1;
Settlement_ID ||Claim_ID ||Effective_Date ||Settlement_Amount
161 || 717 || 2009-11-20 || 6451.65
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
### Question
What is the total count of enzymes?
| [query_database(**{'query': 'SELECT count(*) FROM enzyme'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
### Question
List the names and the locations that the enzymes can make an effect.
| [query_database(**{'query': 'SELECT name , LOCATION FROM enzyme'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
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### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
### Question
What is the maximum OMIM value in the database?
| [query_database(**{'query': 'SELECT max(OMIM) FROM enzyme'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
### Question
What are the names of enzymes whose product is not 'Heme'?
| [query_database(**{'query': 'SELECT name FROM enzyme WHERE product != 'Heme''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
### Question
What are the names of the enzymes used in the medicine Amisulpride that acts as inhibitors?
| [query_database(**{'query': 'SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
### Question
What are the ids, names, and FDA approval status for medicines ordered by descending number of possible enzyme interactions?
| [query_database(**{'query': 'SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
### Question
What is the interaction type of the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?
| [query_database(**{'query': 'SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
### Question
How many medicines were not approved by the FDA?
| [query_database(**{'query': 'SELECT count(*) FROM medicine WHERE FDA_approved = 'No''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
### Question
What are the ids and trade names of the medicine that can interact with at least 3 enzymes?
| [query_database(**{'query': 'SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
### Question
What are the medicine and trade names that can interact as an inhibitor and activitor with enzymes?
| [query_database(**{'query': 'SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activitor''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
### Question
How many different FDA approval statuses exist for medicines?
| [query_database(**{'query': 'SELECT count(DISTINCT FDA_approved) FROM medicine'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
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### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
### Question
How many medicines are offered by each trade name?
| [query_database(**{'query': 'SELECT trade_name , count(*) FROM medicine GROUP BY trade_name'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM medicine LIMIT 1;
id || name ||Trade_Name ||FDA_approved
1 ||Amisulpride || Solian || No
*/
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
/*
1 example row:
SELECT * FROM enzyme LIMIT 1;
id || name || Location || Product ||Chromosome || OMIM ||Porphyria
1 ||ALA synthase ||Mitochondrion ||Ξ΄-Aminolevulinic acid || 3p21.1 ||125290 || none
*/
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
/*
1 example row:
SELECT * FROM medicine_enzyme_interaction LIMIT 1;
enzyme_id ||medicine_id ||interaction_type
1 || 1 || inhibitor
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
### Question
What are the public schools and what are their locations?
| [query_database(**{'query': 'SELECT school , LOCATION FROM university WHERE affiliation = 'Public''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
### Question
What is the founded year of the non public school that was founded most recently?
| [query_database(**{'query': 'SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
### Question
Return the highest acc percent across all basketball matches.
| [query_database(**{'query': 'SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
### Question
Return the name of the team and the acc during the regular season for the school that was founded the earliest.
| [query_database(**{'query': 'SELECT t2.team_name , t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
### Question
What are the average enrollment size of the universities that are founded before 1850?
| [query_database(**{'query': 'SELECT avg(enrollment) FROM university WHERE founded < 1850'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
### Question
Show the enrollment and primary_conference of the oldest college.
| [query_database(**{'query': 'SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
### Question
Find the total student enrollment for different affiliation type schools.
| [query_database(**{'query': 'SELECT sum(enrollment) , affiliation FROM university GROUP BY affiliation'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
### Question
Find the schools that were either founded after 1850 or public.
| [query_database(**{'query': 'SELECT school FROM university WHERE founded > 1850 OR affiliation = 'Public''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
### Question
Find how many school locations have the word 'NY'.
| [query_database(**{'query': 'SELECT count(*) FROM university WHERE LOCATION LIKE "%NY%"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
### Question
Find the number of universities that have over a 20000 enrollment size for each affiliation type.
| [query_database(**{'query': 'SELECT count(*) , affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
### Question
What is the maximum enrollment across all schools?
| [query_database(**{'query': 'SELECT max(Enrollment) FROM university'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
### Question
List names of all teams in the basketball competition, ordered by all home scores in descending order.
| [query_database(**{'query': 'SELECT team_name FROM basketball_match ORDER BY All_Home DESC'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"Team_Name" text,
"ACC_Regular_Season" text,
"ACC_Percent" text,
"ACC_Home" text,
"ACC_Road" text,
"All_Games" text,
"All_Games_Percent" int,
"All_Home" text,
"All_Road" text,
"All_Neutral" text,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
/*
1 example row:
SELECT * FROM basketball_match LIMIT 1;
Team_ID ||School_ID || Team_Name ||ACC_Regular_Season ||ACC_Percent ||ACC_Home ||ACC_Road ||All_Games ||All_Games_Percent ||All_Home ||All_Road ||All_Neutral
1 || 1 ||North Carolina || 14β2 || .875 || 6β2 || 8β0 || 35β2 || 0.946 || 14β2 || 13β0 || 9β1
*/
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM university LIMIT 1;
School_ID || School || Location ||Founded ||Affiliation ||Enrollment || Nickname || Primary_conference
1 ||University of Delaware ||Newark, DE || 1743.0 || Public || 19067.0 ||Fightin' Blue Hens ||Colonial Athletic Association ( D-I )
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "chip_model" (
"Model_name" text,
"Launch_year" real,
"RAM_MiB" real,
"ROM_MiB" real,
"Slots" text,
"WiFi" text,
"Bluetooth" text,
PRIMARY KEY ("Model_name")
)
/*
1 example row:
SELECT * FROM chip_model LIMIT 1;
Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth
X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No
*/
CREATE TABLE "screen_mode" (
"Graphics_mode" real,
"Char_cells" text,
"Pixels" text,
"Hardware_colours" real,
"used_kb" real,
"map" text,
"Type" text,
PRIMARY KEY ("Graphics_mode")
)
/*
1 example row:
SELECT * FROM screen_mode LIMIT 1;
Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type
0.0 || 80 Γ 32 ||640 Γ 256 || 2.0 || 20.0 ||3000β7FFF ||Graphics
*/
CREATE TABLE "phone" (
"Company_name" text,
"Hardware_Model_name" text,
"Accreditation_type" text,
"Accreditation_level" text,
"Date" text,
"chip_model" text,
"screen_mode" text,
PRIMARY KEY("Hardware_Model_name"),
FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`),
FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`)
)
/*
1 example row:
SELECT * FROM phone LIMIT 1;
Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode
Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1
*/
### Question
What are the chip model and screen mode of the phone with hardware model name "LG-P760"?
| [query_database(**{'query': 'SELECT chip_model , screen_mode FROM phone WHERE Hardware_Model_name = "LG-P760";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "chip_model" (
"Model_name" text,
"Launch_year" real,
"RAM_MiB" real,
"ROM_MiB" real,
"Slots" text,
"WiFi" text,
"Bluetooth" text,
PRIMARY KEY ("Model_name")
)
/*
1 example row:
SELECT * FROM chip_model LIMIT 1;
Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth
X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No
*/
CREATE TABLE "screen_mode" (
"Graphics_mode" real,
"Char_cells" text,
"Pixels" text,
"Hardware_colours" real,
"used_kb" real,
"map" text,
"Type" text,
PRIMARY KEY ("Graphics_mode")
)
/*
1 example row:
SELECT * FROM screen_mode LIMIT 1;
Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type
0.0 || 80 Γ 32 ||640 Γ 256 || 2.0 || 20.0 ||3000β7FFF ||Graphics
*/
CREATE TABLE "phone" (
"Company_name" text,
"Hardware_Model_name" text,
"Accreditation_type" text,
"Accreditation_level" text,
"Date" text,
"chip_model" text,
"screen_mode" text,
PRIMARY KEY("Hardware_Model_name"),
FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`),
FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`)
)
/*
1 example row:
SELECT * FROM phone LIMIT 1;
Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode
Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "chip_model" (
"Model_name" text,
"Launch_year" real,
"RAM_MiB" real,
"ROM_MiB" real,
"Slots" text,
"WiFi" text,
"Bluetooth" text,
PRIMARY KEY ("Model_name")
)
/*
1 example row:
SELECT * FROM chip_model LIMIT 1;
Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth
X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No
*/
CREATE TABLE "screen_mode" (
"Graphics_mode" real,
"Char_cells" text,
"Pixels" text,
"Hardware_colours" real,
"used_kb" real,
"map" text,
"Type" text,
PRIMARY KEY ("Graphics_mode")
)
/*
1 example row:
SELECT * FROM screen_mode LIMIT 1;
Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type
0.0 || 80 Γ 32 ||640 Γ 256 || 2.0 || 20.0 ||3000β7FFF ||Graphics
*/
CREATE TABLE "phone" (
"Company_name" text,
"Hardware_Model_name" text,
"Accreditation_type" text,
"Accreditation_level" text,
"Date" text,
"chip_model" text,
"screen_mode" text,
PRIMARY KEY("Hardware_Model_name"),
FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`),
FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`)
)
/*
1 example row:
SELECT * FROM phone LIMIT 1;
Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode
Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1
*/
### Question
List the hardware model name and company name for all the phones that were launched in year 2002 or have RAM size greater than 32.
| [query_database(**{'query': 'SELECT T2.Hardware_Model_name , T2.Company_name FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T1.Launch_year = 2002 OR T1.RAM_MiB > 32;'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "chip_model" (
"Model_name" text,
"Launch_year" real,
"RAM_MiB" real,
"ROM_MiB" real,
"Slots" text,
"WiFi" text,
"Bluetooth" text,
PRIMARY KEY ("Model_name")
)
/*
1 example row:
SELECT * FROM chip_model LIMIT 1;
Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth
X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No
*/
CREATE TABLE "screen_mode" (
"Graphics_mode" real,
"Char_cells" text,
"Pixels" text,
"Hardware_colours" real,
"used_kb" real,
"map" text,
"Type" text,
PRIMARY KEY ("Graphics_mode")
)
/*
1 example row:
SELECT * FROM screen_mode LIMIT 1;
Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type
0.0 || 80 Γ 32 ||640 Γ 256 || 2.0 || 20.0 ||3000β7FFF ||Graphics
*/
CREATE TABLE "phone" (
"Company_name" text,
"Hardware_Model_name" text,
"Accreditation_type" text,
"Accreditation_level" text,
"Date" text,
"chip_model" text,
"screen_mode" text,
PRIMARY KEY("Hardware_Model_name"),
FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`),
FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`)
)
/*
1 example row:
SELECT * FROM phone LIMIT 1;
Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode
Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "chip_model" (
"Model_name" text,
"Launch_year" real,
"RAM_MiB" real,
"ROM_MiB" real,
"Slots" text,
"WiFi" text,
"Bluetooth" text,
PRIMARY KEY ("Model_name")
)
/*
1 example row:
SELECT * FROM chip_model LIMIT 1;
Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth
X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No
*/
CREATE TABLE "screen_mode" (
"Graphics_mode" real,
"Char_cells" text,
"Pixels" text,
"Hardware_colours" real,
"used_kb" real,
"map" text,
"Type" text,
PRIMARY KEY ("Graphics_mode")
)
/*
1 example row:
SELECT * FROM screen_mode LIMIT 1;
Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type
0.0 || 80 Γ 32 ||640 Γ 256 || 2.0 || 20.0 ||3000β7FFF ||Graphics
*/
CREATE TABLE "phone" (
"Company_name" text,
"Hardware_Model_name" text,
"Accreditation_type" text,
"Accreditation_level" text,
"Date" text,
"chip_model" text,
"screen_mode" text,
PRIMARY KEY("Hardware_Model_name"),
FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`),
FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`)
)
/*
1 example row:
SELECT * FROM phone LIMIT 1;
Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode
Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1
*/
### Question
Find the name of the company that has the least number of phone models. List the company name and the number of phone model produced by that company.
| [query_database(**{'query': 'SELECT Company_name , count(*) FROM phone GROUP BY Company_name ORDER BY count(*) ASC LIMIT 1;'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "chip_model" (
"Model_name" text,
"Launch_year" real,
"RAM_MiB" real,
"ROM_MiB" real,
"Slots" text,
"WiFi" text,
"Bluetooth" text,
PRIMARY KEY ("Model_name")
)
/*
1 example row:
SELECT * FROM chip_model LIMIT 1;
Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth
X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No
*/
CREATE TABLE "screen_mode" (
"Graphics_mode" real,
"Char_cells" text,
"Pixels" text,
"Hardware_colours" real,
"used_kb" real,
"map" text,
"Type" text,
PRIMARY KEY ("Graphics_mode")
)
/*
1 example row:
SELECT * FROM screen_mode LIMIT 1;
Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type
0.0 || 80 Γ 32 ||640 Γ 256 || 2.0 || 20.0 ||3000β7FFF ||Graphics
*/
CREATE TABLE "phone" (
"Company_name" text,
"Hardware_Model_name" text,
"Accreditation_type" text,
"Accreditation_level" text,
"Date" text,
"chip_model" text,
"screen_mode" text,
PRIMARY KEY("Hardware_Model_name"),
FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`),
FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`)
)
/*
1 example row:
SELECT * FROM phone LIMIT 1;
Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode
Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "chip_model" (
"Model_name" text,
"Launch_year" real,
"RAM_MiB" real,
"ROM_MiB" real,
"Slots" text,
"WiFi" text,
"Bluetooth" text,
PRIMARY KEY ("Model_name")
)
/*
1 example row:
SELECT * FROM chip_model LIMIT 1;
Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth
X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No
*/
CREATE TABLE "screen_mode" (
"Graphics_mode" real,
"Char_cells" text,
"Pixels" text,
"Hardware_colours" real,
"used_kb" real,
"map" text,
"Type" text,
PRIMARY KEY ("Graphics_mode")
)
/*
1 example row:
SELECT * FROM screen_mode LIMIT 1;
Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type
0.0 || 80 Γ 32 ||640 Γ 256 || 2.0 || 20.0 ||3000β7FFF ||Graphics
*/
CREATE TABLE "phone" (
"Company_name" text,
"Hardware_Model_name" text,
"Accreditation_type" text,
"Accreditation_level" text,
"Date" text,
"chip_model" text,
"screen_mode" text,
PRIMARY KEY("Hardware_Model_name"),
FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`),
FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`)
)
/*
1 example row:
SELECT * FROM phone LIMIT 1;
Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode
Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1
*/
### Question
What are the wifi and screen mode type of the hardware model named "LG-P760"?
| [query_database(**{'query': 'SELECT T1.WiFi , T3.Type FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model JOIN screen_mode AS T3 ON T2.screen_mode = T3.Graphics_mode WHERE T2.Hardware_Model_name = "LG-P760";'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "chip_model" (
"Model_name" text,
"Launch_year" real,
"RAM_MiB" real,
"ROM_MiB" real,
"Slots" text,
"WiFi" text,
"Bluetooth" text,
PRIMARY KEY ("Model_name")
)
/*
1 example row:
SELECT * FROM chip_model LIMIT 1;
Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth
X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No
*/
CREATE TABLE "screen_mode" (
"Graphics_mode" real,
"Char_cells" text,
"Pixels" text,
"Hardware_colours" real,
"used_kb" real,
"map" text,
"Type" text,
PRIMARY KEY ("Graphics_mode")
)
/*
1 example row:
SELECT * FROM screen_mode LIMIT 1;
Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type
0.0 || 80 Γ 32 ||640 Γ 256 || 2.0 || 20.0 ||3000β7FFF ||Graphics
*/
CREATE TABLE "phone" (
"Company_name" text,
"Hardware_Model_name" text,
"Accreditation_type" text,
"Accreditation_level" text,
"Date" text,
"chip_model" text,
"screen_mode" text,
PRIMARY KEY("Hardware_Model_name"),
FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`),
FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`)
)
/*
1 example row:
SELECT * FROM phone LIMIT 1;
Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode
Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "chip_model" (
"Model_name" text,
"Launch_year" real,
"RAM_MiB" real,
"ROM_MiB" real,
"Slots" text,
"WiFi" text,
"Bluetooth" text,
PRIMARY KEY ("Model_name")
)
/*
1 example row:
SELECT * FROM chip_model LIMIT 1;
Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth
X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No
*/
CREATE TABLE "screen_mode" (
"Graphics_mode" real,
"Char_cells" text,
"Pixels" text,
"Hardware_colours" real,
"used_kb" real,
"map" text,
"Type" text,
PRIMARY KEY ("Graphics_mode")
)
/*
1 example row:
SELECT * FROM screen_mode LIMIT 1;
Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type
0.0 || 80 Γ 32 ||640 Γ 256 || 2.0 || 20.0 ||3000β7FFF ||Graphics
*/
CREATE TABLE "phone" (
"Company_name" text,
"Hardware_Model_name" text,
"Accreditation_type" text,
"Accreditation_level" text,
"Date" text,
"chip_model" text,
"screen_mode" text,
PRIMARY KEY("Hardware_Model_name"),
FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`),
FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`)
)
/*
1 example row:
SELECT * FROM phone LIMIT 1;
Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode
Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1
*/
### Question
List the phone hardware model and company name for the phones whose screen usage in kb is between 10 and 15.
| [query_database(**{'query': 'SELECT DISTINCT T2.Hardware_Model_name , T2.Company_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T1.used_kb BETWEEN 10 AND 15;'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "chip_model" (
"Model_name" text,
"Launch_year" real,
"RAM_MiB" real,
"ROM_MiB" real,
"Slots" text,
"WiFi" text,
"Bluetooth" text,
PRIMARY KEY ("Model_name")
)
/*
1 example row:
SELECT * FROM chip_model LIMIT 1;
Model_name ||Launch_year ||RAM_MiB ||ROM_MiB || Slots ||WiFi ||Bluetooth
X5 || 2002.0 || 32.0 || 32.0 ||1CFII,1SD || No || No
*/
CREATE TABLE "screen_mode" (
"Graphics_mode" real,
"Char_cells" text,
"Pixels" text,
"Hardware_colours" real,
"used_kb" real,
"map" text,
"Type" text,
PRIMARY KEY ("Graphics_mode")
)
/*
1 example row:
SELECT * FROM screen_mode LIMIT 1;
Graphics_mode ||Char_cells || Pixels ||Hardware_colours ||used_kb || map || Type
0.0 || 80 Γ 32 ||640 Γ 256 || 2.0 || 20.0 ||3000β7FFF ||Graphics
*/
CREATE TABLE "phone" (
"Company_name" text,
"Hardware_Model_name" text,
"Accreditation_type" text,
"Accreditation_level" text,
"Date" text,
"chip_model" text,
"screen_mode" text,
PRIMARY KEY("Hardware_Model_name"),
FOREIGN KEY (`screen_mode`) REFERENCES `screen_mode`(`Graphics_mode`),
FOREIGN KEY (`chip_model`) REFERENCES `chip_model`(`Model_name`)
)
/*
1 example row:
SELECT * FROM phone LIMIT 1;
Company_name ||Hardware_Model_name ||Accreditation_type ||Accreditation_level || Date ||chip_model ||screen_mode
Sony Mobile Communications || XPERIA T, XPERIA J || Full || joyn Hot Fixes ||Approved (awarded 15.11.12) || X5 || 1
*/
|
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